Complete IBM i (System i, iSeries, AS/400) application development tool
Flexible, simple, modern data access tool
Powerful suite of tools to build and manage data warehouses and data mart environments
During this live webinar, our experts introduce a phased approach to digital transformation for your IBM i data.
Take a quick 30 minutes with your favorite Sequel software experts for this live webinar where we bring you up to speed on the latest features and enhancements you may have missed.
Businesses need fast, easy access to data across an enterprise, but there are three big hurdles in the data access race. To overcome these hurdles, read our exclusive white paper.
With organizations collecting more customer, transactional, and relational data than ever before, data volumes are beginning to expand past their system’s processing capacity. But big data doesn’t have to be alarming. Go beyond the hype and conquer your IBM i data.
IT managers have long been the gatekeepers of data access, but the world of business intelligence is changing. Keep up. Discover the four things IT managers need to know in order to navigate the next phase of data access.
A slow development department—one relying on redundant processes or lacking visibility into its environment—can bring an entire enterprise to a grinding halt. Therefore, it is important to give developers the right...
The right Business Intelligence (BI) tool can address the twin challenges of today's healthcare industry and regulations: efficient, secure information retrieval and effective monitoring of day-to-day operations....
Learn why KPIs are a must for any business intelligence strategy—and how you can apply them.
Ironically, many IBM Power Systems™ users are sitting on top of a “gold mine” of data that they could use to make their lives easier, their jobs more productive, and their companies more profitable—if they only knew...
Query/400 has long been the go-to data access tool. But can it keep up with today's business needs? Find out if it's time to move on from Query/400.
Bad data is common throughout many organizations—and the costs can be far-reaching. This white paper explores the common causes of inaccurate and incomplete business data, as well as how businesses can identify and mitigate these problems.