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In today's data-driven world, organizations are inundated with information from diverse sources. Effectively harnessing this data can be a daunting task, leading many organizations to turn to data warehousing solutions. But what exactly is a Data Warehouse, and what are the advantages and disadvantages of adopting one?

In the realm of data governance, the integration of tools and technology is inseparable from the people and processes driving the entire system. As we delve into the final installment of our blog series on data governance, it is essential to emphasize the interconnectedness of these elements.

Ok, you did your planning work for what tools you want to use to support your data governance efforts. You are ready to execute. What are some things you should consider?

We saved the tools and technology for last in our Data Governance blogs series because it’s easy to get distracted by the shiny object of software (and software sales) and the big promises that it makes for how it will transform your data governance and your life.

Your reports are on the struggle bus. Your data is all over the place. Everyone is complaining that they can’t get the reports they need, or spend too much valuable time getting mediocre reports. You and your staff are spending way too much time battling data systems that should be making your life easier instead of harder. Are you fishing around for days just trying to get the right information?

There is no denying the power and versatility that Artificial Intelligence software and technology has achieved over just the last few years. In such a short time, the advances that we have made with machine learning algorithms have evolved from what were once clunky chat bots into conversation generative AIs so convincing that one of Google’s own engineers was sure that it was sentient.

If you’ve ever had a sewer backup in your basement, you have some idea what the result is of not maintaining all the hard work you did planning and implementing your policies. Sure, you’ve got plumbing, but if you don’t do the maintenance…bad things can happen.

The Data Portal. We at Inciter hear this term all the time, but what does it actually mean? Usually, it is brought up in search for some elusive solution to a data collection and reporting problem, “We need a data portal.” Unfortunately, this term doesn’t actually refer to a defined process, or a specific technology. Each case is different, but after examining our clients’ specific needs, and asking the right questions, we discovered a common thread.

In the planning phase, you put a lot of thought into what policies and processes you need most and what you want them to look like. Now it’s time to put them to the test in the real world. That means subjecting all of your careful planning to the complex network of technical and social systems already operating in your organization and all of the contingencies therein.