Transaction Based Big Data Analytics
- 2. YOU MUST FUNDAMENTALLY CHANGE THE DATA ANALYTICS PROCESS TO ACHIEVE UNPRECEDENTED RESULTS THE PROCESS OF ANALYZING DATA IS INEFFICIENT AND CAN BE FUNDAMENTALLY OVERHAULED
- 3. ACCENTURE: SERVING THE NON-STOP CUSTOMER Source: Accenture, October 2012 ACCENTURE’S NON-STOP CUSTOMER EXPERIENCE MODEL REDEFINES CUSTOMER INTERACTION • Digital technologies are driving this change • Customers no longer enter a channel but are continuously in the channel • Transactional, dynamic, experimental • UNPREDICTABLE Analytics is Getting Increasingly More Complex
- 4. TODAY’S ANALYTICS PROCESS (PRE OPTIER) ENTERPRISE APPLICATION DATA DATA TOOLS (ETL) ENHANCED DATA SETS FINANCE MARKETING Mobile App Database E-Commerce App Database Call Center App Database Retail Branch App Database DATA WAREHOUSE MODELING & BI STEP OPS Expensive, time-consuming, inefficient
- 5. WHY IS THIS TRADITIONAL ANALYTICS PROCESS FLAWED? IT COSTS SO MUCH TIME & MONEY WE OFTEN JUST GIVE UP Problem Time To Fix Data not in enhanced data set 5 Days Data not in data warehouse 1 – 3 Months Data not in application database 3 – 12 Months3 2 1
- 6. THE DATA ANALYTICS PROCESS IS RIPE FOR A FUNDAMENTAL OVERHAUL BECAUSE OF THE WAY APPLICATIONS STORE DATA
- 7. TOMORROW’S ANALYTICS PROCESS (WITH OPTIER) ENTERPRISE APPLICATION DATA Mobile App Database E-Commerce App Database Call Center App Database Retail Branch App Database CASSANDRA DATABASE ENHANCED DATA SETS FINANCE MARKETING OPS OpTier Scalable, intuitive, responsive
- 8. TOMORROW’S ANALYTICS PROCESS WITH OPTIER CREATES MASSIVE VALUE Problem Time To Fix Data not in enhanced data set 5 Days Data not in data warehouse 1 – 3 Months Data not in application database 3 – 12 Months3 2 1 ____ 1 Hour ______ 1 - 2 Days _______ 1 - 2 Days
- 9. WHY IS THIS IMPORTANT? 1 IT can supports routine changes in business requests quickly. 2 Analytics that address complex issues like “non-stop” customer completed in days or weeks not years. 3 Saves huge amounts of money.
- 10. OUT OF 128,000,000.. THE ONLY COMPANY WITH THE SOLUTION THAT CHANGES THE PROCESS
Editor's Notes
- #4: The traditional demand funnel - that describes a linear and generally predictable customer path to buying - has lost its relevance. It’s too slow, too static and too generic to be used as the foundation for marketing, sales and service strategies.Now, while buyers still go through the same stages of awareness, consideration, evaluation, purchase and use, they no longer enter a channel but, instead, are continuously in the channel.Nonstop customers today are frequently re-evaluating their decisions, and the alternatives.
- #5: Data stored in the application data bases lack the context and uniformity to enable analytics to quickly make use of it.Data is the bricks and context is the cement that holds the data together. Context is defined as the relationship between different data elements that answers who, what, where, when and why?
- #6: The traditional demand funnel - that describes a linear and generally predictable customer path to buying - has lost its relevance. It’s too slow, too static and too generic to be used as the foundation for marketing, sales and service strategies.Now, while buyers still go through the same stages of awareness, consideration, evaluation, purchase and use, they no longer enter a channel but, instead, are continuously in the channel.Nonstop customers today are frequently re-evaluating their decisions, and the alternatives.
- #9: The traditional demand funnel - that describes a linear and generally predictable customer path to buying - has lost its relevance. It’s too slow, too static and too generic to be used as the foundation for marketing, sales and service strategies.Now, while buyers still go through the same stages of awareness, consideration, evaluation, purchase and use, they no longer enter a channel but, instead, are continuously in the channel.Nonstop customers today are frequently re-evaluating their decisions, and the alternatives.