The 5 Challenges of Enterprise Big Data Analytics

Enterprise analytical data - When it comes to analytical data, memory goes straight to Big Data. This Big Data technology is indeed very closely related to the continuity of a business. This large and varied amount of data can be used to solve business problems that previously could not be handled.

Big Data has the ability to collect large volumes of data, is able to cope with the rapid development or growth of data and many others. Every company today feels challenged to be able to produce insights that drive business progress.

Many companies are aware of the important role of data, so they are competing to use Big Data as a reliable solution. Big Data is also proven to be able to help company data analytics become better.

Enterprise Analytics Big Data Challenges

There are some challenges to the company's Big Data Analytics that should be well understood. This challenge arises as a result of the characteristics of Big Data itself. Check out some of the challenges that you should pay attention to below:

Data growth

The first challenge is dealing with data growth. This challenge is the most obvious and Big Data will only prepare and analyze all the information at hand. The amount of information stored in the IT world has doubled in every two years.

Most of the data is unstructured meaning it's not in the database. The data is in the form of documents, photos, audio and video where this data becomes difficult to analyze. To be able to cope with data growth, companies can turn to this Big Data technology.

Integration of different data sources

These varieties of Big Data will lead to challenges in data integration. Big Data has different data sources. Some come from company applications, social media streams, email systems, employee-made documents and so on. You must be able to combine all data and perform reconciliation so that you are able to create difficult data reports.

Insights at the right time

Companies do not only store Big Data but they also want to use it to achieve business goals. The most common goals in using Big Data for enterprise data analytics needs are to reduce costs through operational cost efficiency, establish a data-driven culture, create new avenues for innovation and disruption.

Big Data is also used to accelerate the speed with which new capabilities and services are deployed, launch new product offerings and services, and much more. The most vital purpose in using Big Data Analytics technology is to assist in making decisions quickly and accurately.

Lack of professionals

The challenge in implementing Big Data technology is the shortage of professionals. With the exponential increase in data, the demand for Big Data analytics experts will be even greater. It is also important for companies to be able to employ skilled data experts who also have good data analysis skills, and have high discipline.

Data fragmentation

In a fragmented data company. each of these departments or sections or units maintains its own data. There is no dedicated department which handles the management of all data and guarantees correctness, consistency or updating. This type of data will prevent your business from understanding the complexities of the problem at hand.

To solve the need for data analytics and analysis properly you can use solutions from SOLTIUS. We are the best IT-based solution provider company in Indonesia. The solutions we provide are varied and tailored to the needs of your company.

For company data analytics problems we have Hadoop based Big Data solutions where with our solutions you can collect large volumes of data and analyze them well, contact our contact for more information or click this link: https://www.soltius.co.id/id/solutions-by-products/software-analytics-indonesia