Custom Integrations: How Big Data Solutions Can Improve Customer Satisfaction and Productivity

Published: July 11, 2018Updated: May 12, 2022
2 min to read
Custom Integrations: How Big Data Solutions Can Improve Customer Satisfaction and Productivity

It is typical for business owners to add data storage systems on an as-needed basis as their company grows. These new platforms are essential to make sure important data is stored and that the business functions properly. However, the new platforms are often not integrated properly and this can cause problems with inconsistent and incorrect data. Although this may seem unimportant on a small scale, as a company grows what was once a small discrepancy between the systems can cause real problems for data reporting, retrieval and verification. This, in turn, can lead to financial losses, so it is in the company’s best interests to look at integration solutions.

Big data solutions act to fully integrate disparate systems. Using customised databases or the Cloud, they allow organizations to collect data, and utilize it to efficiently and accurately profile their customers. In addition they can look at market trends and forecast likely market developments. It also means that users can access the data more easily, it reduces redundancies and makes sure the data is kept secure.

Big data solutions are essential in this digital age, but it is a big investment and not one that can be taken lightly. All business systems must be properly integrated if the big data system is to be effective. If the API integrations are not able to link the legacy and new systems properly the strategy is likely to fail. To overcome this, an organization should consider hiring an experts. They will create a custom API (the web service programming interface) to ensure that data is accurately transmitted with systems and that database administrators monitor and maintain the databases to keep the system in first class working order.

Identifying your business needs before you implement any big data solution is crucial. It has to be sufficient to account for the amount of data expected and how many users there will be on the system. A smaller company may choose a relational database management system (RDBMS) as this will easily be able to manage the expected data. However these will probably not be suitable for larger companies with extensive amounts of data who would be better served using Cloud based and not server-based big data solutions.

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There are many benefits from implementing big data solutions including increasing productivity and the availability of accurate business metrics. Organizations that pool the date from distinct systems into one central location can use the tools to improve customer satisfaction and stay ahead of the game in their sector.

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