ADVANCED ANALYTICS TOUR

Transcription

1 ADVANCED ANALYTICS TOUR

2 SPONSORS

3 About Neudesic Accelerating Digital Evolution Across the Enterprise The Neudesic approach to digital evolution focuses on digitizing the four facets of an organization

4 Customers Operations DIGITAL EVOLUTION Products Employees

5 Neudesic s Service Lines PREDICTIVE ENTERPRISE ENTERPRISE NERVOUS SYSTEM IMPACT DIGITAL PLATFORMS DIGITAL WORKPLACE

6 Predictive Enterprise Our focus is the Predictive Enterprise where every business decision is supported by your enterprise s collective wisdom.

7 Predictive Enterprise We achieve this through traditional and advanced analytics techniques and technologies.

8 Predictive Enterprise We leverage a combination of machine learning and predictive analytics to optimize your decision making process and provide amazing insights into how your business operates.

9 Introduction to Advanced Analytics T O P I C S C O V E R E D Advanced Analytics Solution Framework Technologies Driving Advanced Analytics Advanced Analytics Use Cases

10 TODAY S PRESENTERS

11 Modernizing Business Intelligence Data + Analytics Data Analytics Data Management ETL ELT MDM Integration Workflows Data Storage RDBMS Big Data NoSQL Data Lakes Advanced Analytics Predictive Prescriptive Prescriptive Batch Real Time Reporting & Visualization Reporting Exploration

12 Neudesic s Vision Data + Advanced Analytics How can we make it happen? P R E S C R I P T I V E A N A L Y T I C S What will happen? P R E D I C T I V E A N A L Y T I C S F O R E S I G H T V A L U E What happened? D E S C R I P T I V E A N A L Y T I C S Why did it happen? D I A G N O S T I C A N A L Y T I C S I N S I G H T H I N D S I G N T D I F F I C U L T Y

13 Neudesic s Vision Data + Advanced Analytics T R A D I T I O N A L B I How can we make it happen? P R E S C R I P T I V E A N A L Y T I C S What will happen? P R E D I C T I V E A N A L Y T I C S F O R E S I G H T V A L U E What happened? D E S C R I P T I V E A N A L Y T I C S Why did it happen? D I A G N O S T I C A N A L Y T I C S I N S I G H T H I N D S I G N T A D V A N C E D A N A L Y T I C S D I F F I C U L T Y

14 Evolution of the Data Source Taking Advantage of New Information Integrate into existing analytics

15 THE BUYERS MARKET RESPONSE Advanced Analytics now accounts for 12.4% of all data & analytics spend in today s enterprise.

16 THE TECHNOLOGY MARKETS RESPONSE Algorithm Marketplace PaaS

17 MAJOR VENDOR BEST OF BREED VS.

18 VERTICAL AGNOSTIC TOOLS AND PLATFORMS ülicensing ütraining ügovernance üconfidence Marketing $ Finance Single Platform Operations

19 REINVENTION IS KEY TO A COMPETITIVE MARKETPLACE Goes without saying, if everyone is headed this direction. To account for need of reinvention, you ll need to be aligned with: 1. Proper technology 2. Proper advanced analytics frameworks and maturity model 3. Research à model 4. Promote to integration

20 WHERE WE WANT TO FOCUS CRAWL WALK RUN

21 WHAT IS A CULTURE OF ANALYTICS? Everyone has the ability to ask and answer questions with data. Everyone participates in the data discovery process. A place where people can be creative with data. An environment where workers aren t limited to prebuilt reports. Gut decisions become data driven decisions.

22 WHY IS AN ADVANCED CULTURE OF ADVANCED ANALYTICS IMPORTANT? When we see data displayed in a picture or graph, meaningful relationships that we would likely have missed are often made obvious. The cost is that we also sometimes perceive pattern that in reality have no meaning. Leonard Mlodinow

23 DEVELOPING A CULTURE OF ANALYTICS Intimate knowledge needed for success tends to stick to industry experts. Involvement of everyone in the organization.

24 A FEW USE CASES

25 PIPELINE SORTING FOR INCREASED DONATION REVENUE Overview: Non Profits & Major Universities run off of large donations. What we know: 1. Is the person involved in the organization somehow? 2. Where does the person live? 3. Possible Donation History Associated?

26 FORECASTING DEMAND Overview: Operations team needs precise estimates for future demand in order to properly allocate capital. What we may know: 1. Historical values 2. Indication of seasonality 3. Future values of information that has a predicable relationship Indication of seasonality Future values of information Historical values

27 PREDICTIVE MAINTENANCE Overview: An oil drilling company would like to know when drill bits are likely to break, rather than go through the process of replacing broken ones. What we may know: 1. RPM 2. Weight on Bit 3. Rock formations 4. Type of Bit

28 360 0 DEGREE CUSTOMER VIEW Customer Information from many sources: CRM Point of Sales (POS) Customer Support Social media (Twitter, Facebook, etc.) Customer behavior and interactions

29 Charting Your Course Find Your Quick Wins!

30 ROI SHOULD DRIVE YOUR NEXT STEP Do you have a data driven culture? User adoption must be a focus. Utilize Neudesic s ROI Focused Development Approach.

31 FIND YOUR QUICK WINS Bubble Size = Relative ROI within first year High Value Low Feasibility Device Monitoring High Value High Feasibility Sales Status Reports Quick Wins Value to Business Team Strength & Retention Low Value Low Feasibility Low Value High Feasibility Feasibility

32 brush TOP PICTURE DISCOVER YOUR DATA S POTENTIAL Conduct a 1-2 hour workshop with business stakeholders to identify opportunities to adopt Big Data and Advanced Analytics solutions: Joint Strategy session Identify various Big Data solution design patterns Brainstorm Big Data and Advanced Analytics uses cases Discuss opportunities for PoCs and PoTs

33 Advanced Analytics Tour Questions? Marc Lobree Karla Benefiel Mike Rossi