Mar 21, 2025
It has become more than necessary for organizations to streamline their data efforts. Data may be in the news for all the wrong reasons but it is still the driving force of innovation and imperative to organizational growth. The proliferation of sensors and mobile devices has resulted in an explosion of data unlike ever before. It may sound like a broken record, but all of this data is important to various personnel within the organization.
The question is not whether you need a data warehouse or not. The question is whether you want to keep up with the rising demands and stay ahead of the competition. It has only been a little over a decade since Amazon created their subsidiary, Amazon Web Services, which got cloud computing into the mainstream. Since then, we have had a host of companies that provide cloud storage and processing, empowering businesses at a very large scale.
Your business offerings are probably garnering great reviews by your customers, but how long will that last? Over time, your customers will expect a host of updates and features, while the market will see a new entrant which may be gaining momentum. In short, you need to constantly stay in demand and relevant. And data is the key to achieving business nirvana.
Being nice to your customers and keeping them happy is definitely a great way to ensure a long term partnership. But how are you ensuring that? Word of mouth is effective, but to rely on it alone in this day and age is suicide. You need to utilize every possible data source to stay informed and unearth actionable insights.
This means that data from spreadsheets, websites, applications, social media, IoT devices, other systems, data repositories, etc. need a system for storage and retrieval. As mentioned earlier, the cloud has made it possible to not let any data point go ignored.
Data problems:
On their own, none of these practices are new. We have been analyzing data ever since we have been creating it. The scenario may not have changed drastically, though the majority of the changes are in the variety, volume, and the velocity of data. The sheer increase in the capability to record data at granular levels has paved the way for sophisticated data tools and services to help us get to the nitty-gritty.
Examples of data integration:
You should start by identifying the number of data sources and what formats they reside in, followed by filtering the types and amounts of data needed. For example, within the data, you may need one column from one data source and an entirely different column or columns from other data sources, making the exercise of identifying data sources an absolute must.
So what are you waiting for? Start identifying the relevant data sources generated or used by your organization and consult the right team of experts to take your business to new heights.
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