Many business and data executives salivate with the idea of monetizing data. Most see the volumes of transactional data as an underutilized and expensive corporate asset that could make millions of dollars or more a year, easing corporate budgets and strengthening bottom lines.

Although a few companies make tens or hundreds of millions of dollars selling corporate data sets, most do not. The journey to monetizing data is not a quick or easy one. There are many challenges and pitfalls along the way that executives need to address before they have a realistic chance of profiting from this traditional back-office asset.

In this webinar, Wayne Eckerson and Michael Hejtmanek explore the top pitfalls organizations face when attempting to monetize data, drawing on practical experience and real-world examples.

You will learn how to overcome these 7 pitfalls:

1. Assuming your data is valuable — without proof

2. Thinking your data is ‘ready’ when it’s not

3. Underestimating internal resistance

4. Overlooking legal, privacy or compliance risks until it’s too late

5. Building the wrong product — one that’s interesting, but not useful

6. Failing to treat data like a real product

7. Treating monetization as a one-off project, not an ongoing process