4 Key Considerations for Creating Your Corporate Data Strategy
Access to big data, and the insights organizations can gain from analyzing the information, has become a major differentiator. Accessing, organizing, and analyzing data is a great way to get a leg up on your competition, but big data solutions can be complicated, and getting set up with the right architecture can be a bit like navigating a mine field.
Considering these four components, determining the right architecture and analytics platform, and properly putting it all together, can help you get your corporate data strategy off the ground and get you on your way to catching the competition.
1 – Data Platform and Placement
To get the most value from your big data strategy, you need to get the platform right. Knowing your on-premise technologies, cloud infrastructures and “as-a-Service” platforms allows you to see the big picture of what’s available to you, as well as identifies where you may need help.
Assessing your business needs first to build an incremental roadmap that allows you to prioritize your return on investment and mitigate risk ensures a holistic approach as you navigate through all of the elements of your data strategy.
2 – Big Data Analytics
It’s the age-old mantra, quality over quantity. The true advantage of a big data analytics solution is not its volume, but the value it delivers your business. It’s more important for you to gain insight from your data than to worry about the amount. That’s why driving business results is the priority when building a big data analytics solution. Defining the business value of your IT project in a way that is clear and measurable to stakeholders, makes objectives crystal clear.
3 – Data Integration
Analyzing your data in a silo has limited value. With access to integrated data, you can unlock insight that would have otherwise been missed. Consider increasing the impact of your data by seamlessly integrating third party data. Enabling access to data and services can help grow your business and securely and efficiently consuming APIs drives innovation.
4 – Data Security and Resilience
With all that your data provides your business, protecting it is crucial. Data security should be first and foremost. You need to have absolute trust in your big data solution and the people who build and maintain it. Enabling data access while providing protection, making sure your data is available and recoverable is essential to protecting your business.
Whether you are seasoned at extracting all the good stuff from your big data, or just starting to dabble in your organizations insights, it’s never too late to look at your corporate data strategy to make sure you’ve got your bases covered. Getting back to basics and looking at platform options, evaluating the insights which are important to your organization (and that you are seeing the whole picture), and backing up all of that data goodness with an appropriate means is sure to bring any organization’s strategy to the next level.
