5 hot trends for data and analytics in 2017
Post on 19-Jan-2017
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Dr. Rado Kotorov, Chief Innovation Officer
Information Builders
5 Hot Trends for Dataand Analytics in 2017
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Five Hot Trends for BI and Analytics in 2017
Dr. Rado Kotorov
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The New Business Reality
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IT and Business Have Divergent Priorities
Technology Projects New Revenue Models
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Business Is Asking: Why Do We Miss Opportunities?
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Why Didn’t IT Invent UBER?
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Change the Mindset: Manage Cyber Assets
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Change the Mindset: Innovate with Data
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Change the Mindset: Think Data Monetization
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Success Requires IT and Business Partnership
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Trend 1Industry 4.0: Building the new digital enterprise using automation
Transition to Enterprise 4.0 Is a Strategic Priority
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The Foundation of Enterprise 4.0
PWC 2016 Global Industry 4.0 Survey
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The Foundation of Enterprise 4.0
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The Foundation of Enterprise 4.0
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Imperative: Manage The Data Value Chain
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Trend 2Analytics in the Digital Culture Revolution: Democratizing BI for fact-based decision making
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Only 22% of Employees Have Access to BI & Analytics
The Most Important Stakeholders Are Left Out
Cut Off
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Operational Intelligence
Why You Need to Rethink Your Data and Analytics Roles Now, Gartner July 26, 2016
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Operational Decision Making Is Different
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How to Deliver BI to Operational Decision Makers?
Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (e.g., buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing).
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Expedia: 1,000s of fields/100s of reports/0 training
Why do we use this analogy?
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InfoApps: Iterative Dialog with Data to Find Answers
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An InfoApp Empowers Mechanics to Save Money
An InfoApp from Information Builders available in 14 different languages for 60,000+ users in 14,000 dealerships. Helps employees make on the job repair-or-replace decisions and save Ford $60 million per year.
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Trend 3Report Consolidation: Cutting costs, improving BI adoption, and moving from reports to InfoApps™
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Report Rich, Information Poor
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Reporting Can Make Employees Inefficient
Source:
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The Vicious Cycle of Reporting
Requests a report
Gets a report
Has two questions
Gets two new reports
Has hundreds of reports
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Consolidate into a Single Self-Service InfoApp
Has hundreds of reports
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Consolidating Large Number of Reports into InfoApps
Customer Before Consolidation
After Consolidation
Financial Institution
3,000 30
Retail 1,000 10
Service Organization
100 1
Transportation 1000 50
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Monetary & Soft Benefits from Report Consolidation
% ReductionCost per Report
($2K to $20K)X Savings=
Higher Adoption=
Better Performance=
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Trend 4The Rise of Customer-Facing Analytics: Monetizing data and consumerizing analytics
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Productizing & Consumerizing
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Analytic Products
Yellow Pages provides advertisers information to measure the return on their advertising dollars and track the success of their campaigns:
Approximately 52 billon rows (nine TB) of raw data per day
Response rate 2 to 10 seconds
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Analytic Products
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Empower the Consumer with In-Document Analytics
20Billion
10Per
month
98%static
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Transition from PDF to ADF
PDF (Portable Document Format)
ADF (Analytical Document Format)
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Trend 5Data Management in the Digital Enterprise: Master data management (MDM), data quality, and governance
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Integration and ETL are Foundational
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