Big data is changing the way we do business. From health care to fast food to fashion, better data and data analytics have the potential to improve customer experiences and make a big impact to revenue and profitability. But we know it’s not enough to just gather more and more data. We have to use it intelligently to answer our most pressing questions and provide real insights.
As product managers and business analysts, how can we elicit, structure, and prioritize the requirements for a data analytics project without winding up with out-of-control scope or organizational battles? And even more important, how can we ensure that our data projects don’t end up delivering dashboards and reports that don’t really provide value, wasting everyone’s time and money?
In our downloadable article, we describe our approach to data analytics project requirements. We recommend starting with a clear understanding of the management/organizational decisions that the data needs to support. Whether this is automated decision-making based off data or a management dashboard that feeds strategic planning, understanding what the questions are will help you craft a better design.
Get our Data and Analytics paper: Defining Business Needs Before Solutions!
Whether you’re already using data analytics and are working on improving your results, or you’re just starting to craft a data strategy for your organizations, we can help you chart a course to achieve your goals. Let’s talk about your needs and challenges!
