We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.


Blog: Lyndsay Wise Subscribe to this blog's RSS feed!

Lyndsay Wise

Hi and welcome to my blog! I look forward to bringing you weekly posts about what is happening in the world of BI, CDI and marketing performance management.

About the author >

Lyndsay is the President and Founder of WiseAnalytics, an independent analyst firm specializing in business intelligence, master data management and unstructured data. Forámore thanáseven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about improving the value of business intelligence within organizations. She can be reached at lwise@wiseanalytics.com.

Editor's Note: More articles and resourcesáare available in Lyndsay's BeyeNETWORKáExpertáChannel. Be sure to visit today!

Analytics have become an integral part of an organization’s infrastructure, helping to drive decision making across the organization. Increasingly, businesses are starting to leverage their information assets to help drive customer satisfaction as well. This is accomplished through customer analytics, identifying patterns in retention, satisfaction, complaints, churn, etc. Additionally, organizations are leveraging this information to better meet the needs of their current and future customers. Going one step further are the companies that offer analytics as a service to their customers to help them optimize their experience.

Data services are becoming increasingly valuable with many organizations selling and maintaining information for their customers. Delivering this effectively requires the development of customer facing analytics that provide access to information assets in a self-service manner. Doing this properly however, requires an in-depth analysis on not only the types of data required and the needed analytics, but also an assessment of what is important to the customer, how they will leverage the information provided, and the easiest way to interact with the analytics provided. Basically, providing customers with access to analytics is easier said than done!

The reality though, is that this level of customer access requires a lot of analysis to make sure that the analytics delivered provide added value to the customer and give them the competitive edge needed or the insights to aspects within their interactions that were previously unknown. Doing this properly requires reaching out to customers on a broad level to identify:

  1. what their needs are
  2. what gaps exist
  3. their business challenges
  4. what value add means to them
  5. how they currently evaluate performance success

With the goal of all of these components being used to enhance visibility into transactions and interactions.

The reality for analytics is that as organizations gain more visibility into their customer needs, they will require the ability to give their customers more information about their accounts, behaviors, efficiencies, etc. In the future, analytics may provide the value add so that when customers look for the right fit from businesses, their evaluations will also include how much visibility they get from their suppliers, service providers, and the like.

This post was written as part of the IBM for Midsize Business program, which provides midsize businesses with the tools, expertise and solutions they need to become engines of a smarter planet. I’ve been compensated to contribute to this program, but the opinions expressed in this post are my own and don’t necessarily represent IBM’s positions, strategies or opinions.

website statistics


Posted November 18, 2013 5:37 PM
Permalink | No Comments |