How the right data and AI foundation can empower a successful ESG strategy
3 min read - A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions. A well-designed…
Bridge on the River Data: The transactional world and data fabric
5 min read - The relationship between the transactional and analytical data was always a bit tensed. One maintained respectful distance from other, usually communicating through their common friend – data pipeline. It was going steady for at least two decades. But the uneasiness…
How to successfully align your AI, data and analytics strategy
4 min read - To successfully align your AI, data and analytics strategy with your business strategy, you need the right data architecture in place. CDOs have a critical role to play in helping the business use data and technology for digital transformation, but…
4 core learnings from successful CDOs and how to apply them
4 min read - A recent IBM IBV CDO study explored the pressures CDOs are under to deliver results despite unclear expectations for the role. The study identified an elite 8% of chief data officers whose organizations allocate proportionally less of their revenue to…
Data platform trinity: Competitive or complementary?
6 min read - Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from…
Four starting points to transform your organization into a data-driven enterprise
4 min read - Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and…
Data architecture strategy for data quality
4 min read - Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality…
IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions
3 min read - Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, poor data quality is a barrier faced by organizations in their quest to become more data-driven. So, it is imperative to have…