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1
Introduction
2
Big Data Analytics
3
Hype Cycle
4
Facts
5
Why
6
Decision Engineering
7
Delivery of Analytics
8
Benefits of Decision Engineering
9
Robust Decision Making
10
Proactively Inform Clients
11
Institutionalized Learning
12
Market Leading Metrics
13
Delivering Decision Engineering
14
New Software Applications
15
Impact on Top and Bottom Line
16
Working Directly with Business Decision Makers
17
Building Use Cases for Big Data
18
How to Get Managers to Use Data
Description:
Explore a 52-minute conference talk from PASS Data Community Summit that addresses the challenge of integrating advanced analytics into business decision-making processes. Learn how embedding analytics in decision support systems can significantly impact organizational outcomes and create value. Discover the concept of decision engineering, its benefits, and strategies for delivering analytics effectively. Gain insights into building use cases for big data, working directly with business decision-makers, and encouraging managers to utilize data-driven approaches. Understand the potential impact on top and bottom lines, and explore new software applications that facilitate this integration. Delve into topics such as robust decision-making, proactive client information, institutionalized learning, and market-leading metrics to bridge the gap between advanced analytics and practical business applications.

Bridging the Gap Between Decision Makers and Advanced Analytics

PASS Data Community Summit
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