TECHNOLOGY FRAMEWORKS

Data Architecture Modernization

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you capture and manage one of the most valuable assets your organization has, its data.

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Eliminate Internal Data Silos

Part of modernizing your data architecture is making your internal data accessible to those who need it when they need it. For many companies, information silos are the norm. That’s both inefficient and a show of poor data management practices.  When data is stored in disparate repositories, people unwittingly duplicate it. Then, no one knows which information is really correct.

Modernizing data architecture includes breaking down those barriers, then cleansing and validating information to determine that it’s accurate and complete. Otherwise, it’s not useful to the enterprise.

Ensure All Your Data is Trustworthy

Another part of modernizing your data architecture is making your data accessible to those who need it, when they need it. For many companies, integrating, cleansing, and validating data from internal sources is a great start, but that’s just the beginning. Because the enterprise must now rely on data coming from external sources as well, modernizing your data architecture includes ensuring you have a way to ingest data from external sources, cleanse it, de-duplicate it when necessary, and validate it.

Account for different data structures and formats

Gone are the days when your data consisted only of structured data that could be easily analyzed with standard tools. With the advent of big data and cloud computing, the sheer volume of both structured and unstructured data has risen exponentially, and there’s vital information for your enterprise lurking in all that data.

That means that your data architecture should be built to accommodate data from multiple sources in multiple formats, both structured and unstructured. Otherwise, you are missing out on vital information you need to make informed business decisions.

Implement solid data governance

Maintaining data quality is an ongoing process and your data architecture must support that process at every step. That means that a part of your modernization plan should be to implement a robust data governance policy for your organization. While many organizations may simply give lip service to the concept of true data governance, it is essential to modernize your data architecture to facilitate strong data governance. In this way, you can feel confident in your data, relying on it to help you make the type of strategic decisions that will give you a competitive edge.

Reduce costs, improve the value of your data and boost business agility and profitability.

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