Technical debt is commonly described as efforts deferred for the purpose of meeting deadlines or goals that will later need to be revisited and reworked for the final state product. It’s a tradeoff between gaining short-term benefits while sacrificing long-term value and overall efficiency.
With increasing globalization and technology developments spurring modern economics, Data Strategy has been vital in identifying and understanding customers.
A data model enables you to make decisions based on facts instead of educated guesses. However, the value goes far beyond that. With data modeling, you’re easily able to store and access information that will benefit you and your organization.
Data decay is a pervasive problem in many industries that can lead to frustrated customers and a lack of trust in a business.
Just like most industries, banking and finance have forever changed due to the explosion of big data and the infrastructure required for processing such data.
Data-driven organizations understand that their data is a strategic asset and to properly harness its power it must be supported by a sophisticated data strategy.
Many c-suite executives are perplexed at the amount of money their organizations spend implementing and integrating data and software applications with limited evidence that they will even align with desired business outcomes.
Master Data Management (MDM) allows you to manage data assets better. MDM’s goal is to implement best practices that will help you optimize the management of your organization’s data assets.
Today, many organizations have numerous applications and systems in which data, spanning multiple departments, quickly becomes fragmented, duplicated, and even outdated.