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How to Make Big Data Implementation a Success: Roadmap and Best Practices to Follow

Big data has become the hot new thing and every company wants a slice of that action. The thought of having insights and analytics for virtually everything related to your brand makes it highly desirable. 

However, this kind of custom software can’t be implemented willy-nilly. In fact, if you aren’t careful, you’re going to end up with botched development and expensive repairs.

The Road To Success

No company can achieve big data implementation overnight. A lot of moving parts are involved and you need a solid roadmap in order to navigate the situation. 

If you’re completely lost, I recommend looking into various software development models so you have a better idea of what the process is like.

That being said, here is a possible roadmap that you can follow as a point of reference.

  • Identify company needs and assemble a team
  • Determine ideal solution and budget
  • Define the big data sources of interest
  • Begin software development
  • Integrate the big data custom software with existing technologies
  • Deploy after thorough testing

That seems simple enough, right? Now let’s dig a little deeper and expand on what you can do to guarantee successful big data implementation.

Practice Makes Perfect

Since the roadmap is out of the way, this part is going to focus on general practices and suggestions that don’t necessarily fit into a roadmap. Some friendly neighborhood advice, if you will.

Stay Grounded and Realistic

Depending on how far your company has invested in software development, your goals will look very different. It’s imperative to understand the scope of the project and how feasible it is under different scenarios. If your company has very little digitization so far, the process becomes much slower and demanding. In such a case you would need a lot of time and expertise to get the desired results. So just keep your head on straight and don’t set lofty goals.

Development Companies Know Best

It’s advised to enlist the services of a software development agency. They are trained experts who will be able to guide you through the process and assist as needed.

Some people believe implementing big data in house is always the best route. This stems from the incorrect assumption that development companies are expensive. To make a long story short, making mistakes in the process will be worse for your budget. So find a software development firm and make life easy.

Patience Is a Virtue

Last but certainly not least, give it time. Implementing big data is very time consuming and trying to rush development has more drawbacks than benefits.Your strategy needs to account for the time related demands of the process. Side by side, your plans need to be flexible and adaptable. Things change, or they don’t work. Keep an eye on things and put your foot down on any stubbornness in the team.

Conclusion

Companies have found many uses for big data. They have also found increasingly complex solutions. A little practicality goes a long way here. Now that you’ve understood what your roadmap should look like and what else you should consider, I’d say you’re good to go!

Matthew Thomas

Written by Matthew Thomas

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