The Golden State Warriors continue to be Data-driven. How can you use your data to create championship calibre teams?
Can you prove the ROI of your data management efforts? Are you able to conquer the gap between your analytical insights and operational execution? Can your business teams leverage reliable data and relevant insights to solve their day-to-day challenges without compromising on scalability and performance? Are you able to implement a mix of defensive as well as offensive data strategies to meet your data security as well as personalization goals? If the answer is no to one or more of these questions, you must rethink (and reinvent) your data management philosophy.
My presentation at DBTA’s 2017 Data Summit conference. All enterprises want to understand their customers better so they can engage the right customer, at the right time, with the right offer, via the customer's preferred channel. With Reliable Data, Relevant Insights and Recommended Actions enabled by Modern Data Management, we can understand the customer better and provide more connected and personalized experiences.
It's easy to be seduced by the "black magic" of technology that can solve a variety of your business challenges by just asking Watson, Einstein, Siri, Alexa or even HAL, and other "humanizing" names. Beyond the hype, here are 3 critical ingredients that must be considered in order to be successful.
The value of reliable reference data cannot be undermined. Due to the nature of IT application development and the reliance upon off-the-shelf application systems, reference data is all too often isolated in silos within many different systems. Inconsistent reference data across multiple systems can cause invalid transactions, revenue leakages and compliance risks.
In a thought provoking article, Leandro DalleMule, CDO at AIG and Thomas H. Davenport, Professor at Babson College, and MIT Research fellow, pose the question "What's Your Data Strategy". Within the framework of defense and offense, the level of expertise, resources necessitate a split across both. This review of the article examines how a Modern Data Management Platform as a Service can help support both.