This document summarizes Seth Familian's presentation on working with big data. The presentation covers the context and definition of big data, useful tools for working with big data like Splunk, building dashboards from big data using techniques like scheduled searches and indices, inferring customer segments from big data using RFM scoring and crossing segments with categories, and final thoughts on data as a new interface and starting points for working with big data. The presentation contains examples and screenshots to illustrate the concepts discussed.
Apollo Endosurgery's Rx for Success with SalesforcePerficient, Inc.
Organizations face new challenges as innovation, digital transformation and business agility continue to be business drivers. To meet these demands, organizations are turning to new solutions to transform their entire business.
Join our upcoming webinar featuring a Fireside Chat with Apollo Endosurgery as they share their transformational journey with Salesforce and how next-generation cloud technology helped scale their business in 8 weeks.
During this discussion, you’ll learn how Apollo Endosurgery leveraged the cloud platform to:
-Transform their business model
-Become a more data-driven organization
-Deepen customer relationships in a digital era
-Address new regulatory demands
Dataiku is a collaborative data science platform that allows teams to prototype, design, and run data science projects at scale across various technologies and locations. It has over 300% growth in users and is used by many leading companies. Dataiku was named a "visionary" in Gartner's 2017 Magic Quadrant for data science platforms based on its completeness of vision.
Don't Leave Data Behind: Integration Strategies for On-premise and Cloud Solu...Perficient, Inc.
As the SaaS application market matures, IT organizations are adopting a cloud integration strategy around hybrid environments that focuses on combining cloud and on-premise solutions to house data, augment internal capacity and increase business agility.
Join Perficient and Informatica for a webinar focusing on key issues and opportunities surrounding hybrid IT models, including:
Managing a data environment that is both in the cloud and on-premise
Keeping information in sync and current to influence better business decisions
Examples of successful, company-adopted hybrid architecture models for maximum ROI and agility
Use case examples with Salesforce.com and RedShift (Amazon web services)
Demonstration of Informatica Cloud Integration
Power Your Customer Experience with Data BrightFunnel
Rafa Flores presented on powering customer experience with data. The presentation covered key topics like customer experience, brand awareness, initial engagement, and a Subaru case study. It defined customer experience as interactions between an individual and organization throughout a business relationship. It discussed using 2nd and 3rd party data to improve brand awareness and initial engagement. A case study showed how Subaru used 1st party data to gain a 360 degree view of customers to send the right message at the right time in their journey.
Data Driven Decisions: Building an Insight Driven CultureAmazon Web Services
Analytics done well can transform the way that decisions are made across an organisation. The proliferation of data, matched with the accessibility of new technologies such as AI and Machine Learning, means answers to more and more business questions are within reach. Having a clear strategy for building a data driven culture, to realise the value in analytics, is now a business imperative. This presentation covered:
• The Amazon Story: A Culture of Innovation and History of Machine Learning
• Deloitte & Amazon: Perspectives on Building a Data Driven Culture
• Customer Discussion: Predictions & practical advice
This was presented in Australia and New Zealand in October 2018
People are complex. Office 365 is complex. Add the two together and you get some of the most challenging, difficult, and stressful situations, especially if you are responsible for facilitating shared understanding between them. Join Richard Harbridge to learn about actionable techniques to improve, simplify and amplify your leadership, business analysis and information architecture efforts with Office 365. Walk away with improved confidence when dealing with business and non-technical related challenges of Office 365, and be familiarized with effective tools and techniques that make Office 365 implementations more successful.
Marketers are learning that today's more advanced content management systems (CMS) provide flexible, full-featured and easy-to-use tools to make frequent and rapid content edits without IT involvement. Modern content management systems make it easier to improve search engine visibility and provide powerful ways to engage website visitors.
This presentation explains how Perficient's Sitecore CMS implementation optimized Perficient.com and enabled the delivery of fresh, engaging content to our visitors. Within a year of the site re-launch, Perficient experienced a 142% increase in traffic to the site, while blog visits have increased 95% and white paper downloads have increased 113%.
Data Driven Strategy Analytics Technology Approach CorporateSlideTeam
This complete deck can be used to present to your team. It has PPT slides on various topics highlighting all the core areas of your business needs. This complete deck focuses on Data Driven Strategy Analytics Technology Approach Corporate and has professionally designed templates with suitable visuals and appropriate content. This deck consists of total of thirteen slides. All the slides are completely customizable for your convenience. You can change the colour, text and font size of these templates. You can add or delete the content if needed. Get access to this professionally designed complete presentation by clicking the download button below. https://bit.ly/3yjusdQ
Driving Insights With Tableau presented at the Sacramento Tableau User Group Meeting. Presenting to Executive vs. Operational levels and adoption of data analysis. Information should only be shared to whoever is relevant and can take action. Identify homogeneous groups, their questions and their goals. Where can they take action?
• Understand the company business and high-level goals
• Current reporting structure • Company organizational chart
• Stakeholder interviews or informal conversations
This document provides an overview of big data and visualization trends, tools, and techniques. It discusses the growth of big data and how organizations are now dealing with large volumes of various data types. It then profiles several popular tools for visualizing and analyzing big data, including Splunk, Charted, Tagul, Quid, Quintly, Google Analytics, Mixpanel, Intercom, and others. Finally, it discusses how these tools can be used to create automated dashboards and insights for tasks like customer segmentation and loyalty analysis.
Understand Your Customer Buying Journey with Big Data Datameer
Imagine being able to use insights about your customer acquisition journey to design campaigns that improve conversion rates. What if you could identify points of failure along the customer acquisition path or during product usage?
Today more than ever the role of the marketing and product executives have become data-driven. Business executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data analytics is the key to unlocking insights from your customer behavior data and empowers you to combine and analyze all of your customer interaction data to drive customer acquisition and loyalty.
4 Things Every B2B Marketer Should Know About Programmatic Ads Demandbase
The future of programmatic ad buying for B2B is now. Programmatic for B2B is not just about automated media buying or audience building, it’s about automating the workflow and reducing ad waste between the systems. B2B Programmatic is a race to the top, connecting ads to marketing automation and website personalization to CRM systems in order to drive opportunities further down the funnel.
Louis Moynihan, VP of Strategic Alliances at Demandbase, and Jenifer Metz, Global Demand Generation at CSC, will show you where B2B programmatic advertising is headed and how it is impacting the B2B landscape.
In this webinar, we will cover:
A strategic overview of the Programmatic Advertising Landscape
What is next for programmatic advertising?
What Account-Based Re-targeting is and its impact
How to deliver full-funnel B2B ad experiences
Customer examples of B2B Re-targeting success
Science and Art of Relevancy Tuning Tailored to Moody's Search - Asim Hafeez,...Lucidworks
Moody's Analytics provides financial information and analytics to institutions worldwide. It has over 10,500 institutional clients in 155 countries. The company's search engine handles over 1 million unique keyword searches per month from 132,000 active users. Moody's goal is to empower customers to make better decisions by providing the right information and insights at the right time. It has improved its search capabilities through rebuilding its search platform, conducting user research, and implementing techniques like query intent analysis, recommendation engines, and natural language processing to better understand customers and personalize search results. Moody's journey continues with continuous improvement and expanding universal search across its domains.
Learn the importance of data management and data governance for your marketing automation campaigns, and get a preview of our Salesforce Connector and APIs.
Learn how to guide customers to relevant products using eCommerce search, hyper-personalisation, and recommendations in our ‘Best-In-Class Retail Product Discovery’ webinar.
Nowadays, shoppers want their online experience to be engaging, inspirational and fulfilling. They want to find what they’re looking for quickly and easily. If the sought after item isn’t available, they want the next best product or content surfaced to them. They want a website to understand their goals as though they were talking to a sales assistant in person, in-store.
In this webinar, we explore IMRG industry data insights and a best-in-class example of retail product discovery. You’ll learn:
- How AI can drive increased revenue through hyper-personalised experiences
- How user intent can be easily understood and results displayed immediately
- How merchandisers can be empowered to curate results and product placement – all without having to rely on IT.
Presented by:
Dave Hawkins, Principal Sales Engineer - Lucidworks
Matthew Walsh, Director of Data & Retail - IMRG
[AIIM16] Change Management: Lessons Learnt in a Global Engineering and Produ...AIIM International
This document discusses lessons learned in change management from a large global engineering and production company. It describes the company's history and complex organizational structure resulting from mergers and acquisitions. This led to information silos and different document management systems. The company implemented a new process-oriented information management system. The document then outlines the key steps in the change management process, including understanding stakeholders, communicating with users, implementing in phases, and providing support during and after roll-out.
Accelerating Employee Onboarding & Your Hybrid Workplace With Microsoft 365Richard Harbridge
Join us and learn how you can deepen your existing technology investment to support employee onboarding and your hybrid workplace.
A whopping 73% of employees want flexible remote work options to stay, says Microsoft in their latest report, The Next Great Disruption is Hybrid Work. This makes tailoring your employee onboarding to support the hybrid working model essential to the success of your team!
As such, many organizations are making the adjustments for a post-pandemic world and looking to prepare for and manage the explosive growth expected in the months and years ahead. But, from skills development and digital excellence to process automation and connecting employees to the resources they need at the right time, the challenges ahead are considerable.
Join LiveTiles along with LiveTiles Partner, 2toLead, CTO and Microsoft MVP, Richard Harbridge on Tuesday, May 11, from 11:00 AM to 12:00 PM EST as he explores:
How the “workplace” has changed
Why digital excellence should be prioritized in onboarding, especially when supporting hybrid work and the remote workforce
Ways organizations are looking to better leverage Microsoft 365 and their digital workplace investments to support this talent growth
How SharePoint, Microsoft Teams, Yammer, and more can be used with support from LiveTiles solutions (pictured below) to improve the employee onboarding and hybrid work experience
Data Con LA 2018 - Creating operational efficiency: Automating big data, AI, ...Data Con LA
Creating operational efficiency: Automating big data, AI, and ML to improve profit by Marie Smith, Chief Information Officer, Data 360
Manual tasks take time. They must be performed linearly by humans who are prone to errors and who are unable to consistently perform to the highest standards. Automation reduces the number of tasks you and your employees would otherwise need to do manually. This frees up your time to work on items that add genuine value to the business, allowing you to be more innovative and increasing your employees’ levels of motivation. Automation also allows you to get more done in the same amount of time, greatly increasing productivity. Learn how to use automation with artificial intelligence (AI) in this enlightening workshop and profit.
The document discusses reasons for enterprise content management (ECM) project failures and provides tips to avoid them. It explores common themes from past failed initiatives like lack of strategy, budget overruns, and resistance to change. The document provides various experts' perspectives on top reasons for ECM failures and recommendations to ensure project success, such as establishing governance, obtaining proper sponsorship, and addressing user needs.
You Spoke, We Listened – Achieving a New Level of Search Optimization with Go...Concept Searching, Inc
Join us to learn how the combination of Google Search Appliance and conceptClassifier improves search outcomes. Concept Searching’s industry recognized technology, still unique in the market, provides the Google Search Appliance index with automatically generated semantic metadata, based on our core compound term processing, that generates multi-term metadata that represents concepts.
If you are using Google Search Appliance or evaluating search options, this webinar will provide highly useful information to understand how conceptClassifier improves search results in any search environment.
How does conceptClassifier improve Google Search Appliance results?
• Eliminates end user tagging.
• Automatically generates keywords and phrases that represent a concept.
• Accepts queries in natural language, with the user typing words, phrases or whole sentences, and inter-relationships among content,
• Retrieves highly relevant content even if the results do not contain the search string,
• Improves dynamic navigation through the use of semantic metadata.
• Improves result biasing as the results will automatically include related keywords and concepts.
• Eliminates the development of collections as the taxonomy hierarchy can be used to guide users to specific content based on their role and function – this also applies to segmentation.
• Can load synonym lists, but are not needed as the taxonomy manager component will recognize synonyms as well as related concepts during auto-classification. The results can be easily and quickly modified by an administrator.
• Blacklist and stop words can also be managed in the taxonomy component, without creating and uploading files and eliminating human subjectivity.
• Taxonomies are easily tuned and managed by Subject Matter Experts, providing unique features not available in any other taxonomy product.
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
This document discusses automating big data analytics processes. It describes the traditional "old school" approach of manually extracting, loading and transforming raw data. The document then presents two "new school" examples that automate these processes. The first automates extracting core website and social media data, enriching email addresses, and generating segments and metrics. The second integrates data from 70+ APIs in real-time, performs custom aggregations, and enables behavioral segmentation and messaging. The document concludes by soliciting questions and feedback on working with big data.
Seth Familian led a Squarespace bootcamp to teach participants how to build a website in one day. The bootcamp covered establishing goals and site structure, organizing and populating content, configuring Squarespace designs, populating site pages, and finalizing/publishing the site. Participants worked through each step, building out sample sites to populate with their own content.
This document outlines Seth Familian's presentation on working with big data. It discusses key concepts like what constitutes big data, popular tools for working with big data like Splunk and Segment, and techniques for building dashboards and inferring customer segments from large datasets. Specific examples are provided of automated data flows that extract, load, transform and analyze big data from various sources to generate insights and populate customized dashboards.
This document provides an overview of building a website in 3 hours using Squarespace. It discusses defining goals and content for the site, organizing assets, setting up the basic Squarespace account and template, populating pages, and publishing the site. The process involves identifying goals and content types, creating an architecture to organize content, evaluating existing assets, selecting branding elements, populating pages with images, text, and embedded content, and testing the site before launching.
This document provides an overview of digital marketing trends, channels, tactics and tools. It is presented in four parts: emerging trends in the digital landscape, key digital marketing channels, tactics for driving engagement and conversion, and useful tools for digital marketing efforts. The presentation covers topics such as the shift from outbound to inbound marketing, the proliferation of digital channels, how to leverage search engine marketing, social media, email and other channels, and how tools like Google Analytics can be used to track metrics and analyze traffic. The overall message is the importance of staying aware of emerging trends and being curious to continuously improve digital marketing strategies.
TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
3 Things Every Sales Team Needs to Be Thinking About in 2017Drift
Thinking about your sales team's goals for 2017? Drift's VP of Sales shares 3 things you can do to improve conversion rates and drive more revenue.
Read the full story on the Drift blog here: http://blog.drift.com/sales-team-tips
The document discusses designing teams and processes to adapt to changing needs. It recommends structuring teams so members can work within their competencies and across projects fluidly with clear roles and expectations. The design process should support the team and their work, and be flexible enough to change with team, organization, and project needs. An effective team culture builds an environment where members feel free to be themselves, voice opinions, and feel supported.
What is UX and how can it help your organisation?Ned Potter
An overview of User Experience techniques. No longer just web usability testing, there's a new much more human movement in UX. This presentation outlines the key components, with examples: ethnography, and human-centred design.
The document discusses optimizing a Squarespace website by focusing on three areas: 1) Optimizing information architecture and navigation-driven site flow through organizing content and grouping it into 3-5 main sections and a footer. 2) Customizing template CSS and JavaScript beyond the style editor to fine-tune the design and add page-specific or site-wide customizations. 3) Embedding third-party tools like Typeform, Airtable and Mapbox using simple embed codes or JavaScript to enhance the site's functionality. The presentation takes questions at the end.
UX, ethnography and possibilities: for Libraries, Museums and ArchivesNed Potter
1) The document discusses how the University of York Library has used various user experience (UX) techniques like ethnographic observation and interviews to better understand user needs and behaviors.
2) Some changes implemented based on UX findings include installing hot water taps, changing hours, and adding blankets - aimed at improving the small details of user experience.
3) The presentation encourages other libraries, archives and museums to try incorporating UX techniques like behavioral mapping and cognitive interviews to inform design changes that enhance services for users.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
The document provides advice for new librarians and information professionals. It discusses finding your niche within the fragmented library community. It encourages professionals to face their fears, take career risks for impact, learn from positive experiences, get involved in different projects, find a mentor, and ask for help. The document also advises professionals to say no to opportunities occasionally and give themselves breaks from time to time.
TopNotch: Systematically Quality Controlling Big Data by David DurstSpark Summit
David Durst of BlackRock presents TopNotch, a system for systematically quality controlling big data. TopNotch uses assertions to define and measure data quality, reuses commands across data sets to maximize efficiency, and institutionalizes knowledge of data sets through plans and commands. It provides a unit testing framework for data with assertions to verify facts, diffs to compare data sets, and views to transform data. This solves the problems of defining data quality, efficiently quality controlling many data sets, and institutionalizing knowledge of data sets.
eBay has one of the largest and most active data platforms in the world. The presentation discusses eBay's business, strategy, and key trends driving commerce. It then provides details on eBay's big data platform, including the large volume of data collected daily and how it is captured, transformed and synthesized to provide actionable insights. The presentation concludes by discussing how eBay has evolved to a governed self-service model for analytics to better organize and provide a consistent experience for its diverse user community.
eBay has one of the largest data platforms in the world with over 50 terabytes of new data collected daily. The presentation discusses eBay's transition to a governed self-service model for analytics to better organize its diverse user community of data scientists, analysts, and business users. It outlines the strategy of building a centralized insights hub and establishing data governance practices to increase transparency, trust, and efficiency for self-directed analytics and business insights.
This document discusses how big data and analytics are moving from on-premises data warehouses to hybrid cloud environments that leverage technologies like Hadoop, Spark, and machine learning. It provides examples of how Oracle is helping customers with this transition by offering big data cloud services that give them flexibility to run workloads both on-premises and in the cloud while simplifying data management and enabling new types of advanced analytics.
The document discusses operational data warehousing and the Data Vault model. It begins with an agenda for the presentation and introduction of the speaker. It then provides a short review of the Data Vault model. The remainder of the document discusses operational data warehousing, how the Data Vault model is well-suited for this purpose, and the benefits it provides including flexibility, scalability, and productivity. It also discusses how tools and technologies are advancing to support automation and self-service business intelligence using an operational data warehouse architecture based on the Data Vault model.
Using ML and Azure to improve Customer Lifetime ValueNavin Albert
This document discusses using Azure Databricks and machine learning to improve customer lifetime value (CLV) by reducing churn. It begins with an introduction of the speakers and overview of Databricks capabilities. Next, it defines CLV and how retailers can focus on customer retention to drive revenue growth. Methods for calculating and improving CLV are presented, along with challenges of using machine learning for churn prediction at scale. A sample architecture is shown using Azure services like Databricks, Data Factory, Data Lake and SQL DW. Finally, an end-to-end churn prediction solution is demonstrated in Databricks.
a2c Boston Big Data Meet-up: Agile Data Warehouse Designa2c
Preview this Big Data Seminar, and request the complete audio and animated download featuring Agile Data Warehouse Design - a step-by-step method for data warehousing / business intelligence (DW/BI) professionals to better collect and translate business intelligence requirements into successful dimensional data warehouse designs. The method utilizes BEAM✲ (Business Event Analysis and Modeling) - an agile approach to dimensional data modeling that can be used throughout analysis and design to improve productivity and communication between DW designers and BI stakeholders. a2c's Practice Director of Information Services and Author Jim Stagnitto and CTO John DiPietro designed this presentation to provide an overview of Agile Warehouse Design that will facilitate communication between Data Modelers and Business Intelligence Stakeholders in a fun and informative one hour session. Demystify this process and find out what the 96 Data Scientists who attended November's Boston Big Data Meet-up are talking about.
“Excellent presentation. It is good to hear meaningful …information about new developments in how Agile methodologies can be applied to DW/BI work. Big Kudos to the presenters and organizers. Thanks, I found it very useful and enjoyable.”- Ramon Venegas
“Extremely useful to understand how to apply Agile approach to DWH; how create a framework where model changes are welcome, and bring users to the process of DWH modeling.” – Alfredo Gomez
Seeing Redshift: How Amazon Changed Data Warehousing ForeverInside Analysis
The Briefing Room with Claudia Imhoff and Birst
Live Webcast April 9, 2013
What a difference a day can make! When Amazon announced their new RedShift offering – a data warehouse in the cloud – the entire industry of information management changed. The most notable disruption? Price. At a whopping $1,000 per year for a terabyte, RedShift achieved a price-point improvement that amounts to at least two orders of magnitude, if not three when compared to its top-tier competitors. But pricing is just one change; there's also the entire process by which data warehousing is done.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Claudia Imhoff explain why a new cloud-based reality for data warehousing significantly changes the game for business intelligence and analytics. She'll be briefed by Brad Peters of Birst who will tout his company's BI solution, which has been specifically architected for cloud-based hosting. Peters will discuss several key intricacies of doing BI in the cloud, including the unique provisioning, loading and modeling requirements. Founded in 2004, Birst has nearly a decade of doing cloud-based BI and Analytics.
Visit: http://www.insideanalysis.com
L’architettura di classe enterprise di nuova generazioneMongoDB
The document discusses using MongoDB to build an enterprise data management (EDM) architecture and data lake. It proposes using MongoDB for different stages of an EDM pipeline including storing raw data, transforming data, aggregating data, and analyzing and distributing data to downstream systems. MongoDB is suggested for stages that require secondary indexes, sub-second latency, in-database aggregations, and updating of data. The document also provides examples of using MongoDB for a single customer view and customer profiling and clustering analytics.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
This document provides an overview and agenda for a Power BI Advanced training course. The course objectives are outlined, which include understanding data modeling concepts, calculated columns and measures, and evaluation contexts in DAX. The agenda lists the modules to be covered, including data modeling best practices, modeling scenarios, and DAX. Housekeeping items are provided, instructing participants to send questions to Sami and mute their lines. It is noted the session will be recorded.
Turning Big Data into Better Business OutcomesCisco Canada
The big data era is upon us as organizations are awash in social, mobile and machine-generated data. Opportunity abounds. But competition threatens. Further this high volume, data-at-the-edge environment challenges centralized data warehouse approaches typical with BI and Analytics today. Data virtualization provides a more agile, leave-the-data-where-it-lies way to fulfill BI and Analytic needs and achieve key business outcomes.
Risk Analytics Using Knowledge Graphs / FIBO with Deep LearningCambridge Semantics
This EDM Council webinar, sponsored by Cambridge Semantics Inc. and featuring FI Consulting, explores the challenges common to a risk analytics pipeline, application of graph analytics to mortgage loan data and use cases in adjacent areas including customer service, collections, fraud and AML.
RightScale Webinar - Tales From the Trenches: Understanding and Managing Clo...RightScale
With the public cloud pricing wars reaching fever pitch, the ROI of cloud continues to increase. But unlike traditional upfront capital approval processes, public cloud requires a new, continuous approach to forecasting and managing costs.
In this webinar, Joe Emison, CTO of BuildFax and RightScale customer, will share how he optimizes cloud costs. We’ll also help you understand cloud pricing trends and learn how to forecast and manage your costs with Cloud Analytics.
Key Topics:
1. Latest cloud pricing trends and what it means for you
2. How BuildFax optimizes cloud spend
3. Tips and best practices for managing cloud costs
4. Live demonstration of forecasting and comparing cloud costs
Liberate Legacy Data Sources with Precisely and DatabricksPrecisely
Mainframe and IBM i data continues to be prevalent in several industries including financial services, insurance, and retail where critical customer information lives on legacy systems. In fact, in 2019 alone, studies show that there was a 55% increase in transaction volumes on the mainframe across all industries. To thrive in highly competitive markets, you must quickly break down legacy data silos to swiftly gain a full picture of data for insights for strategic action.
Traditional storage solutions that are mainframe proprietary struggle to scale for high data volumes and real-time analytics use cases. This results in increased costs, diminished performance, and missed SLAs. To solve this, Precisely and Databricks provide a modern approach for organizations to optimize volumes of data by leveraging the massive scalability of the cloud to power high-performance analytics, AI, and machine learning, regardless of where data lives.
In this webinar, we discuss:
- Quickly ingesting data from on-premises sources – such as mainframe and IBM i – to the cloud with the Databricks Unified Data Analytics Platform and Delta Lake
- Modernizing ETL processes and reduce development costs with visual data pipelines that uses the elastic scalability of Databricks
- Empowering business users with the most up to date data by populating Delta Lake with realtime data changes from legacy systems
View this webinar on-demand to see a live demo of the joint solution and how it can modernize your legacy infrastructure
This document outlines 7 steps for developing predictive customer models:
1. Identify the business problem
2. Audit available data and determine necessary sample size
3. Perform exploratory data analysis to understand data quality issues and predictive relationships
4. Transform variables and identify most predictive ones using techniques like correlation, regression
5. Choose the best modeling approach like regression or CHAID based on problem type
6. Validate models on holdout data and ensure results make intuitive sense
7. Rebuild models when response rates decline or significant events occur
The goal is to use available customer data to develop actionable segmentation schemes and predictive models to improve marketing outcomes.
The document provides an overview of key steps in data mining and modeling for marketers, including:
1) Identifying the business problem, available data sources, and most predictive variables through exploratory data analysis and variable transformations.
2) Choosing the best modeling approach such as regression, CHAID, or neural networks based on the problem and number of potential answers.
3) Validating the model by checking that it makes intuitive sense based on customer profiles, and testing it on a sample of out-of-sample data to evaluate performance.
4) Determining when to rebuild an old model, such as when response rates decline or significant market changes occur.
This document outlines 7 steps for developing predictive customer models:
1. Identify the business problem
2. Audit available data and determine necessary sample size
3. Perform exploratory data analysis to understand data quality issues and predictive relationships
4. Transform variables and identify most predictive ones using techniques like correlation, regression
5. Choose the best modeling approach like regression or CHAID based on problem type
6. Validate models on holdout data and ensure results make intuitive sense
7. Rebuild models when response rates decline or significant events occur
The goal is to use available customer data to develop actionable segmentation schemes and predictive models to improve marketing outcomes.
It's never been more important for marketers, sales teams, and product managers to be data-driven. But how can three seemingly disparate teams align around a single analytical framework?
Thanks to the "AARRR" or "Pirate Metrics" funnel popularized by Growth Hacking, we can unify metrics across marketing, product and sales to develop a holistic understanding of any business with a digital presence.
This presentation, which was part 3 of Galvanize Boulder's "What the Funnel" workshop series in February 2018, walks through each step of the Pirate Metrics funnel, describing key metrics to measure, and how to measure them with free or low-cost digital tools.
The document outlines various digital tools for business organized into categories including personal productivity, marketing and branding, collaboration, invoicing and cashflow, automating workflows, and data analysis and visualization. It provides examples of popular tools for each category and brief descriptions of their uses. The presentation encourages audience participation with questions and emphasizes selecting the right tools for specific business needs.
Digital Marketing Trends, Analytics + TacticsSeth Familian
This document outlines a presentation on digital marketing trends, analytics, and tactics. The presentation covers emerging digital trends like the shift from focusing on customers to users. It also discusses analyzing audience data with Google Analytics, including fundamental metrics and behavioral insights. Finally, it proposes developing tactics to drive engagement and conversion, using frameworks like marketing mixology that blend different channels. The presentation aims to provide an overview of key concepts in digital marketing.
This document provides an overview of marketing strategy, tools, and tactics. It discusses branding and how brands can differentiate themselves functionally and emotionally. Brands can disrupt traditional technologies and drive growth through "brand umbrellas" across multiple industries. Engagement with customers and users is important, and digital tools like social media, email marketing, and data analytics can help with engagement. The document concludes by asking what the key attributes are for a particular brand, including its core products/services, mission, values, story, and sustainability messaging.
Persuasive Visualization: Data + Design = EngagementSeth Familian
Seth Familian presented on persuasive visualization and discussed three types: visual metrics, game mechanics, and preconnection. He provided case studies on projects that used these techniques, such as eliminating walls of text through visual metrics, leveraging competition and ego through game mechanics, and engaging stakeholders through curiosity and anticipation with preconnection. Familian concluded by discussing key takeaways like keeping visualizations simple, engaging the ego, and leveraging preconnection to achieve powerful engagement.
The document outlines seven habits of effective PowerPoint presentations: 1) start with a structured story, 2) standardize design language, 3) standardize written language, 4) animate to narrate not exaggerate, 5) show with images and tell with voiceover, 6) build slides around transitions, and 7) use a presentation remote. It provides tips and best practices for each habit, including examples of slide design, animation techniques, and effective narration.
This presentation was provided by Shaina Lange of Kidney News, and Dianndra Roberts of the Royal College of Psychiatrists (RCPsych), for the fifth session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Five: 'DEIA in Peer Review,' was held July 11, 2024.
How to Manage Shipping Connectors & Shipping Methods in Odoo 17Celine George
Odoo 17 ERP system enables management and storage of various delivery methods for different customers. Timely, undamaged delivery at fair shipping rates leaves a positive impression on clients.
PRESS RELEASE - UNIVERSITY OF GHANA, JULY 16, 2024.pdfnservice241
The University of Ghana has launched a new vision and strategic plan, which will focus on transforming lives and societies through unparalleled scholarship, innovation, and result-oriented discoveries.
APM event held on 9 July in Bristol.
Speaker: Roy Millard
The SWWE Regional Network were very pleased to welcome back to Bristol Roy Millard, of APM’s Assurance Interest Group on 9 July 2024, to talk about project reviews and hopefully answer all your questions.
Roy outlined his extensive career and his experience in setting up the APM’s Assurance Specific Interest Group, as they were known then.
Using Mentimeter, he asked a number of questions of the audience about their experience of project reviews and what they wanted to know.
Roy discussed what a project review was and examined a number of definitions, including APM’s Bok: “Project reviews take place throughout the project life cycle to check the likely or actual achievement of the objectives specified in the project management plan”
Why do we do project reviews? Different stakeholders will have different views about this, but usually it is about providing confidence that the project will deliver the expected outputs and benefits, that it is under control.
There are many types of project reviews, including peer reviews, internal audit, National Audit Office, IPA, etc.
Roy discussed the principles behind the Three Lines of Defence Model:, First line looks at management controls, policies, procedures, Second line at compliance, such as Gate reviews, QA, to check that controls are being followed, and third Line is independent external reviews for the organisations Board, such as Internal Audit or NAO audit.
Factors which affect project reviews include the scope, level of independence, customer of the review, team composition and time.
Project Audits are a special type of project review. They are generally more independent, formal with clear processes and audit trails, with a greater emphasis on compliance. Project reviews are generally more flexible and informal, but should be evidence based and have some level of independence.
Roy looked at 2 examples of where reviews went wrong, London Underground Sub-Surface Upgrade signalling contract, and London’s Garden Bridge. The former had poor 3 lines of defence, no internal audit and weak procurement skills, the latter was a Boris Johnson vanity project with no proper governance due to Johnson’s pressure and interference.
Roy discussed the principles of assurance reviews from APM’s Guide to Integrated Assurance (Free to Members), which include: independence, accountability, risk based, and impact, etc
Human factors are important in project reviews. The skills and knowledge of the review team, building trust with the project team to avoid defensiveness, body language, and team dynamics, which can only be assessed face to face, active listening, flexibility and objectively.
Click here for further content: https://www.apm.org.uk/news/a-beginner-s-guide-to-project-reviews-everything-you-wanted-to-know-but-were-too-afraid-to-ask/
How to Manage Access Rights & User Types in Odoo 17Celine George
In Odoo, who have access to the database they are called users. There are different types of users in odoo and they have different accesses into the database. Access rights are permissions that can be set for the individual or group of users. This slide will show How to Manage Access Rights & User Types in Odoo 17.
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...Alvaro Barbosa
In this talk we will review recent research work carried out at the University of Saint Joseph and its partners in Macao. The focus of this research is in application of Artificial Intelligence and neuro sensing technology in the development of new ways to engage with brands and consumers from a business and design perspective. In addition we will review how these technologies impact resilience and how the University benchmarks these results against global standards in Sustainable Development.
Description:
Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO.
Key Topics Covered:
Main Topic : VIEW
Sub-Topic :
View Definition, Advantages and disadvantages, View Creation Syntax, View creation based on single table, view creation based on multiple table, Deleting View and View the definition of view
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications.
Previous Slides Link:
1. Data Integrity, Index, TAble Creation and maintenance https://www.slideshare.net/slideshow/lecture_notes_unit4_chapter_8_9_10_rdbms-for-the-students-affiliated-by-alagappa-university/270123800
2. Sequences : https://www.slideshare.net/slideshow/sequnces-lecture_notes_unit4_chapter11_sequence/270134792
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management.
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024.
How To Sell Hamster Kombat Coin In Pre-marketSikandar Ali
How To Sell Hamster Kombat Coin In Pre Market
When you need to promote a cryptocurrency like Hamster Kombat Coin earlier than it officially hits the market, you want to connect to ability shoppers in locations wherein early trading occurs. Here’s how you can do it:
Make a message that explains why Hamster Kombat Coin is extremely good and why people have to spend money on it. Talk approximately its cool functions, the network in the back of it, or its destiny plans.
Search for cryptocurrency boards, social media groups (like Discord or Telegram), or special pre-market buying and selling structures wherein new crypto cash are traded. You can search for forums or companies that focus on new or lesser-acknowledged coins.
Join the Right Communities: If you are no longer already a member, be a part of those groups. Be active, share helpful statistics, and display which you recognize your stuff.
Post Your Offer: Once you experience comfortable and feature come to be a acquainted face, put up your offer to sell Hamster Kombat Coin. Be honest about how plenty you have got and the price you need.
Be short to reply to any questions capability customers may have. They may need to realize how the coin works, its destiny capability, or technical details. Make positive you have got the answers equipped.
Talk without delay with involved customers to agree on a charge and finalize the sale. Make sure both facets apprehend how the coins and money could be exchanged.
How To Sell Hamster Kombat Coin In Pre Market
Once everything is settled, move beforehand with the transaction as deliberate. You might switch the cash immediately or use a provider to assist.
Stay in Touch: After the sale, check in with the customer to ensure they were given the coins. If viable, leave feedback in the network to expose you’re truthful.
How To Sell Hamster Kombat Coin In Pre Market
When you need to promote a cryptocurrency like Hamster Kombat Coin earlier than it officially hits the market, you want to connect to ability shoppers in locations wherein early trading occurs. Here’s how you can do it:
Make a message that explains why Hamster Kombat Coin is extremely good and why people have to spend money on it. Talk approximately its cool functions, the network in the back of it, or its destiny plans.
Search for cryptocurrency boards, social media groups (like Discord or Telegram), or special pre-market buying and selling structures wherein new crypto cash are traded. You can search for forums or companies that focus on new or lesser-acknowledged coins.
Join the Right Communities: If you are no longer already a member, be a part of those groups. Be active, share helpful statistics, and display which you recognize your stuff.
Post Your Offer: Once you experience comfortable and feature come to be a acquainted face, put up your offer to sell Hamster Kombat Coin. Be honest about how plenty you have got and the price you need.
Hamster kombat free money Withdraw Easy free $500 mo
5. CONTEXT: WHAT’S BIG DATA?
WELCOME TO DATA OBESITY!
5
http://www.datasciencecentral.com/profiles/blogs/basic-understanding-of-big-data-what-is-this-and-how-it-is-going
6. CONTEXT: WHAT’S BIG DATA?
HOW BIG IS BIG?
6
http://www.domo.com/blog/2013/05/the-physical-size-of-big-data/
in 1 year!
creates enough data to fill
7. CONTEXT: WHAT’S BIG DATA?
BIG IN GROWTH, TOO.
7
http://www.infosysblogs.com/brandedge/2013/04/20130419Infographc.html https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
8. CONTEXT: WHAT’S BIG DATA?
9 SOURCES
8
https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
9. CONTEXT: WHAT’S BIG DATA?
6 TYPES
9
{
"created_at": "Thu Sep 15 16:29:08 +0000 2016",
"id": 776457834095644700,
"id_str": "776457834095644672",
"text": "I love @glip because it makes me more productive and
reliant on far fewer tools! #gliplove #goglip #gliptastic :)",
"truncated": false,
"entities": {
"hashtags": [
{
"text": "gliplove",
"indices": [
82,
91
]
},
{
"text": "goglip",
"indices": [
92,
37. BUILDING DASHBOARDS
SCHEDULED SEARCHES + INDICES
40
by sourceoforder by af_type
by af_source by af_name
by af_name
+ ppc_s
SUMMARY INDEX INDEX_MAIN_SOURCES INDEX_A.COM INDEX_AFFILS INDEX_PAID_SEARCH INDEX_SHOPPING_ENGINES
12M+ TRANSACTIONSFULL DB
METRICS
SAVED SEARCHES
DATA DELTAS
METRICS DATA DELTAS
METRICS DATA DELTAS
METRICS DATA DELTAS
METRICS DATA DELTAS
41. BUILDING DASHBOARDS
AUTOMATED BIG DATA FLOW (EXAMPLE 1)
45
RAW DATA EXTRACT LOADTRANSFORM
Traffic Sources
& Session Stats
RAW DATA
Behavioral Segments,
Funnels, Retention &
LTV
EXTRACT
Additional aggregation
and data refinement
Core Website
Social Engagement Footprint
Unified social
footprint metrics
Enrichment of
email addresses
CRM data store for
easy segmentation +
analysis
Additional context
on Twitter followers
More flexible segments,
funnels + retention
metrics
42. BUILDING DASHBOARDS
AUTOMATED BIG DATA FLOW (EXAMPLE 2)
46
LOAD
Custom
dashboards
synced with
70+ APIs
Traffic Sources
& Session Stats
Realtime (RT)
TRANSFORMRAW DATA EXTRACT
Core Website
Social Engagement Footprint
heavy-duty query tools already in place
App Databases
Custom aggregation scripts
Postgres or
Redshift DB
Daily
Pull
Internally-reported metrics
summarized for triangulation
Daily CSV
Behavioral segmentation
+ in-app messaging
RT
Behavioral Segments,
Funnels, Retention & LTV
RT
Unified social
footprint metrics
Unified app downloads
& ratings metrics
App Store Activity
email address
enrichment
46. INFERRING SEGMENTS FROM BIG DATA 50
X11 X21 X31 X41
X12 X22 X32 X42
X13 X23 X33 X43
X14 X24 X34 X44
X15 X25 X35 X45
X51
X52
X53
X54
X55
High Frequency
High Recency
Low Frequency
Low Recency
Still Loyal
Once Loyal
New
Old
F + R = LOYALTY INSIGHTS
47. INFERRING SEGMENTS FROM BIG DATA
$0
$1,500
$3,000
$4,500
$6,000
51
Average total spent ($) by new MFR quantiles rerun for non-outlier M1 + M2 customers
M1 M2 M3 M4 M5
percent: top 20% of
M1+2
2nd 20% 3rd 20% 4th 20% Bottom 20%
segment
size:
93,134 93,139 92,861 93,406 93,143
avg. $
spent:
$3,337 $1,137 $642 $412 $276
total $
spent:
$345,234,826 $105,573,528 $59,348,459 $38,398,553 $25,537,936
% of total
revs:
53% 32% 18% 11% 8%
High-Value
Customers
Low-Value Customers
M = VALUE
INSIGHTS
49. INFERRING SEGMENTS FROM BIG DATA
PRICE-POINT
CUTOFFS
53
Best Camera/Lens Purchased
DSLR Body DSLR Lens DSLR Body + Lens Point-and-Shoot
Segment Name
Relationship
to Photography
Memory
Keepers
Use cameras to record
family memories and
milestones
less than
$650
less than
$300
less than
$950
less than
$450
Hobbyists
Enjoy the picture-taking
process; understand and
use camera controls
$650 - $1725 $300 - $750 $950 - $2300 $450 - $700
Prosumers
Advanced skills, but do
not make a living from
photography
$1725 - $2750 $750 - $3000 $2300 - $4200 $700 - $2500
Pros
Rely on photography as a
profession $2750+ $3000+ $4200+ $2500+
50. INFERRING SEGMENTS FROM BIG DATA
CROSSING RFM
W/ CATEGORIES
54
Low Value High Value
Still
Loyal
Once
Loyal
New Old
Still
Loyal
Once
Loyal
New Old
Memory Keepers 1 2 3 4 5 6 7 8
Hobbyists 9 10 11 12 13 14 15 16
Prosumers 17 18 19 20 21 22 23 24
Professionals 25 26 27 28 29 30 31 32
3. Cross-Tabulate
Top customers and categories to
create behavioral and
loyalty-based segments
9
key categories
account for 81% of sales
2. Isolate
the top customers and
categories by total dollars
spent, frequency, and
recency (RFM) measures
465,683
top customers
account for 88% of sales
1,164,927 customers 807 categories
1. Aggregate
72 months of Internet channel
transaction data, organizing by
key variables
2,246,094 Internet Channel transactions
4. Generate
Segment-specific marketing
recommendations which can
be further targeted by brand
YIELDS SOLID TARGETS
FOR TACTICAL PLANNING
52. FINAL THOUGHTS
A NEW TYPE OF
KNOWLEDGE
WORKER
58
http://www.doclens.com/87922/think-issue-7-2014/
53. FINAL THOUGHTS
AN INCREDIBLY VALUABLE SKILL
59
https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
54. FINAL THOUGHTS
THE CORNERSTONE OF A DAUNTING FUTURE?
60
https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
55. FINAL THOUGHTS
DATA AS INTERFACE
61
for
using
Made Visual
BACKGROUND TITLES + BUTTONS TEXT + LINES
Your data + brand
up to
100,000
objects
Anywhere on the Web
using
1 line
of code