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The Data & Analytics Journey – Why it’s more attainable for your company than ever before
The document outlines the accessibility and benefits of data and analytics for mid-market companies, highlighting that big data no longer implies high costs or infrastructure requirements. It discusses advancements in technology such as cloud services, cognitive services, and machine learning, which enable businesses to leverage data effectively. Key learning points emphasize the attainability of big data solutions for companies of all sizes and the evolution of business intelligence towards service-based models.
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The Data & Analytics Journey – Why it’s more attainable for your company than ever before
- 1. THE DATA & ANALYTICSJOURNEY Why it’s more attainable for your company than ever before Social Connections 11 Chicago June 1-2 2017 © 2017 PSC Group, LLC
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- 3. THE THREE THINGSYOU ARE GOING TO LEARN 1. Big Data does not mean “Big Costs” 2. How mid-market / market- leading and growth companies have seen large benefits 3. Broader understanding of what’s possible to move their company through the journey © 2017 PSC Group, LLC
- 4. WHAT YOU ARENOT GOING TO LEARN • How to be a data scientist • What products actually exist • Vendor endorsement © 2017 PSC Group, LLC
- 5. • Introductions • Stateof the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up © 2017 PSC Group, LLC
- 6. JOHN HEAD • ChiefEvangelist & Business Development • IBM Dual Champion - Collaboration and Cloud • 25 years experience - 19 Consulting, 6 sales • Speaker of 70+ sessions at conferences and user groups around the world • Specialize in Application Modernization & Integration • 5 year Lumity Exec Board Member • YWCA of Metropolitan Chicago Board Member © 2017 PSC Group, LLC
- 7. DR. MARK RODEN •PSC Group LLC (Chicago USA) • 20 years working with Web Technologies • Principal Architect at PSC Group • Project Leader • Developer • Evangelist © 2017 PSC Group, LLC
- 8. OUR METHODOLOGY MODERNIZATION, NOTMIGRATION Inventory Existing Application Portfolio Categorize and Prioritize Estimate Modernization Costs Determine Landing Platform Network Impact Analysis Data Center Impact Analysis Define Security Model on Landing Platform Establish Tools & Standards Application Transformation Data Transformation Sunset Legacy Environment Develop Support and Staffing Plan Application Modernized! Reduce Licensing of Legacy Environment Define Governance Model Modify Infrastructure Establish Development Environment Specify and Procure Production Hardware and Software Analysis & Design Prepare for a more data driven, mobile, social and dynamic future Identify opportunities to enhance processes, workflow and security Technical Analysis Business Value Analysis Cultural Change Analysis Develop Training Plan and Materials Train End Users on Modernized Application ANALYZE MODERNIZE © 2017 PSC Group, LLC
- 9. © 2017 PSC Group,LLC • Introductions • State of the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
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- 11. WHY NOW? • Before2014, Big Data/BI/Analytics was a game of the big enterprises • Infrastructure • Resources • Cost • “Reporting” was the Mid-Market sweet spot • Excel / Crystal / Tableau © 2017 PSC Group, LLC
- 12. WHAT CHANGED • Since2014, the following has changed: 1. Acceptance of the cloud 1. Start-ups vs Mid-Market vs. Enterprise 2. Cost of Entry dramatically decreased 3. Need for specialization has decreased 4. Competitive Advantage of using your data is attainable © 2017 PSC Group, LLC
- 13. “BIG” MYTHS • “Big”in Big Data/BI/Analytics no longer means • Big Cost • Big Infrastructure • Big Maintenance • Big Teams • Big Data/BI Analytics is accessible to companies of any size © 2017 PSC Group, LLC
- 14. BUSINESS INTELLIGENCE MATURITY ROADMAP Fixed Whatis going on? Self Service Let me see what is going on. Monitoring Are we meeting our KPIs? Predictive How can we be more efficient? Increasingly Mission Critical Increasingly resource intensive © 2017 PSC Group, LLC
- 15. © 2017 PSC Group,LLC • Introductions • State of the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
- 16. VISUALIZATION • (Data) Visualizationis a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software. © 2017 PSC Group, LLC
- 17. VISUALIZATION Traditional On PremisesTools • Visualization as an IT service • Excel to enterprise grade • Reliance on someone else providing the data service Cloud Based Tooling • Visualization as a Platform • API Architecture • Consumption of services © 2017 PSC Group, LLC
- 18. BI FOR THEMASSES Everyone Analysttoenduser ITtoenduser 2nd wave Self-service BI 1stwave Technical BI 3rdwave End user BI © 2017 PSC Group, LLC
- 19. TURNING DATA INTOBUSINESS INSIGHTS IS CHALLENGING Common BI challenges include… Multiple data sources Data residing in SaaS solutions and other external locations is difficult to access and refresh securely End-to-end view Data often resides in disparate locations, making it difficult to see a complete picture of your business Right data for the right users at the right time Different roles have different needs and business users need the latest operational data © 2017 PSC Group, LLC
- 20. DATA SOURCES • Connectto cloud services you already use - popular SaaS solutions • Quickly start with solution-specific content packs which include • Explore data with fast data processing • Automatic data refresh is built-in © 2017 PSC Group, LLC
- 21. © 2017 PSC Group,LLC • Introductions • State of the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
- 22. DATA WAREHOUSING ASA SERVICE • Data Warehousing as a Service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service. © 2017 PSC Group, LLC
- 23. DATA WAREHOUSING ASA SERVICE • IBM dashDB • Amazon RedShift • Microsoft Azure Data Warehouse • Google Big Query © 2017 PSC Group, LLC
- 24. A MODERN DATAWAREHOUSE AS A SERVICE
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- 27. © 2017 PSC Group,LLC • Introductions • State of the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
- 28. COGNITIVE SERVICES • Cognitivecomputing is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. © 2017 PSC Group, LLC
- 29. EVOLUTION OF BUSINESS INTELLIGENCE •Next step in BI and analytics is service based • Cognitive analytics • Service based intelligence © 2017 PSC Group, LLC
- 30. WHAT ARE COGNITIVESERVICES? • Set of core services delivered via API’s and SaaS products • Core Services: • Translation • Discovery • Image recognition • Language patterns © 2017 PSC Group, LLC
- 31. COGNITIVE API SERVICES •Vision • Content Moderator • Emotion • Face • Video • Text to Speech • Speaker Recognition • Linguistic Analysis • Text Analytics • Translator • Knowledge Exploration Service • Recommendations • Search © 2017 PSC Group, LLC
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- 33. BUILDING COGNITIVE SERVICESINTO YOUR APPLICATION © 2017 PSC Group, LLC
- 34. © 2017 PSC Group,LLC • Introductions • State of the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
- 35. MACHINE LEARNING • Machinelearning is the subfield of computer science that gives "computers the ability to learn without being explicitly programmed.“ Evolved from the study of pattern recognition and computational learning theory in artificial intelligence,machine learning explores the study and construction of algorithms that can learn from and make predictions on data. © 2017 PSC Group, LLC
- 36. CLOUD PREDICTIVE ANALYTICS •Drag and drop Predictive Analysis • Visual comprehension of the ideas and concepts • Cloud based • As complex as you need it to be • Accessible as a service © 2017 PSC Group, LLC
- 37. DRAG AND DROPPREDICTIVE ANALYTICS © 2017 PSC Group, LLC
- 38. DRAG AND DROPCONNECTIVITY © 2017 PSC Group, LLC
- 39. ACCESSIBILITY OF KNOWLEDGE ©2017 PSC Group, LLC
- 40. • Introductions • Stateof the Union – Analytics, BI & Big Data for the Mid-Market • Visualization • Data Warehouse as a Service • Cognitive Services • Machine Learning for the Masses • Wrap-up
- 41. THE THREE THINGSYOU LEARNED 1. Big Data does not mean “Big Costs” 2. How mid-market / market- leading and growth companies have seen large benefits 3. Broader understanding of what’s possible to move their company through the journey © 2017 PSC Group, LLC
- 42. Thank You! Questions? Contact: JohnHead Mark Roden 312.999.5617 571.213.6618 jhead@psclistens.com mroden@psclistens.com © 2017 PSC Group, LLC