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Data platform trinity: Competitive or complementary?
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-...
Four starting points to transform your organization into a data-driven enterprise
Due to the convergence of events in the data analytics and AI landscape, many organizations are at ...
How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)
In this example, we will demonstrate using current data within a Netezza Performance Server as a ...
Data architecture strategy for data quality
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 ...
How data, AI and automation can transform the enterprise
Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and...
Using a digital self-serve experience to accelerate and scale partner innovation with IBM embeddable AI
IBM has invested $1 billion into our partner ecosystem. We want to ensure that partners like you ...
IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions
Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. ...
How IBM Planning Analytics can help fix your supply chain
IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&...
How to stay ahead of ever-evolving data privacy regulations
Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Kicked off several years ...
