Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Building Analytics Teams

You're reading from   Building Analytics Teams Harnessing analytics and artificial intelligence for business improvement

Arrow left icon
Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800203167
Length 394 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
John K. Thompson John K. Thompson
Author Profile Icon John K. Thompson
John K. Thompson
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction 2. An Overview of Successful and High-Performing Analytics Teams FREE CHAPTER 3. Building an Analytics Team 4. Managing and Growing an Analytics Team 5. Leadership for Analytics Teams 6. Managing Executive Expectations 7. Ensuring Engagement with Business Professionals 8. Selecting Winning Projects 9. Operationalizing Analytics – How to Move from Projects to Production 10. Managing the New Analytical Ecosystem 11. The Future of Analytics – What Will We See Next? 12. Other Books You May Enjoy
13. Index

Not big data but lots of small data

I am certain that my views in this area are informed and shaped by my early consulting experiences. I was fortunate enough to work with experienced professionals that knew how to acquire, integrate, and analyze a wide range of related but disparate datasets. They never worried about bringing together a couple of databases to create new information and analytics. They saw this activity as quite natural. As a consequence of spending so much time with them and seeing the incredibly powerful and insightful results, I too came to believe that integrating data together was an incredibly valuable activity that provided tools and insights that other people just did not see or even think of.

In the beginning, we would integrate datasets that were obviously related. We would integrate shipments information from the client company systems with the consumption data from grocery stores. Consumption data or scanner data from Nielsen and Information Resources...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime