Telecommunications Marketing: From business intelligence to analytics

Telecommunications Marketing: From business intelligence to analytics

Telecommunications Marketing: From business intelligence to analytics

The other day, my analytical team at a major telecommunications company and I were presenting an all-new behavioral segmentation to one of our senior executives. Seeing the first slide, the executive jumped out of his seat in excitement and exclaimed, “Some of these insights took me years to uncover after repeated trial and error and hundreds of BI (business intelligence) reports.”

Using a cell phone to make a voice call leaves behind a significant amount of data. The cell phone provider knows every person you called, how long you talked, what time you called and whether your call was successful or if it was dropped. When you use your cell phone, the cell phone provider knows where you are, where you make most of you calls from, which promotion you are responding to, how many times you have bought before and so on. In many cases, a cell phone is the only thing people carry with them at all times.

Read Also:
Managed Data Lakes Deliver Exceptional Value and Accessibility

For a BI analyst trying to make sense of all of this data, the task becomes manageable thanks to hundreds of attractive looking tools that instantly create reports presenting data in every conceivable slice, graph, table, pivot or dump imaginable.

However, no matter what tool you use, the best that traditional BI can help you understand is what happened. It cannot, no matter how much you torture the data, tell you when something happened, who will it happen to or why something happened. This is precisely the reason that advanced analytics is so important; it’s the difference between the 99 percent of effort that typically yields very little insight, and the 1 percent that provides a window into the mind of a customer.

Borrowing an analogy from the popular MasterCard commercial, the distinction can also be seen as:

Analytics is not always easy – petabytes of data everywhere and a priceless insight difficult to find. Creating terabytes of reports, engineering gigabytes of excel sheets by writing killer macros and presenting them in flashy slides to top management in the hope that all this effort will tell you something and result in action rarely occurs.

Read Also:
Bring Your Dark Data into the Light

On the other hand, combining the what with the when, who and why will provide a company with a long-term strategic competitive advantage.

Many different methodologies answer the when, who and why questions including:

If you are new to this world, the last bulleted item – the why question – is a great way to start your foray because it is easy to implement and full of insights that will be very action-oriented.

Though traditional BI has several benefits and is easy to implement, it is confined in its ability to predict, identify and give a full customer view, e.g. predicting customer lifetime, identifying triggers for churn, measuring the influence of social network on your customer’s decisions or suggesting the next best offer.

 



Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
A 5-Step Process to Get More Out of Your Organization’s Data

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
A 5-Step Process to Get More Out of Your Organization’s Data
Read Also:
Managed Data Lakes Deliver Exceptional Value and Accessibility

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
The Future of Information: Analytics Everywhere

Real Business Intelligence

11
Jul
2017
Real Business Intelligence

25% off with code RBIYM01

Read Also:
The Future of Information: Analytics Everywhere

Advanced Analytics Forum

20
Sep
2017
Advanced Analytics Forum

15% off with code Discount15

Read Also:
How Microsoft plans to address AI and machine learning challenges

Leave a Reply

Your email address will not be published. Required fields are marked *