The Business Intelligence industry has made a significant amount of progress in the past year. While Big Data was rising in importance in the last decade, the situation seems to have accelerated in the previous year. Many important changes have taken place in the platforms in the form of mergers and acquisitions, while others are continuing to take place to this day.
In 2019, modern data analytics reached new heights, as the field saw several new developments take place through the amalgamation of big data and business intelligence. Given below are five business intelligence mergers that have taken place this year.
1. Google Acquires Looker
In June 2019, Google acquired the rights to Looker, a US-based data analytics startup. This acquisition was quite fortunate because both Google and Looker have a common client base of over 350. Also, both companies have an incredibly common culture and have known each other for quite some time which made the merger even more desirable.
2. Sisense Acquires Periscope data
In May 2019, Sisense took over Periscope Data to create what is according to them a complete data analytics platform. Sisense takes care of the business analytics part of the things, while Periscope Data adds critical technology to transform and work with really complex data. The idea of the merger emerged when the CEOs of the two companies met to incorporate the elements of each company into the other. In the end, they decided to merge the two companies together for the betterment of both.
3. Salesforce Acquires Tableau Software
The purpose of this mammoth acquisition in the history of Salesforce, that took place in June 2019, was to provide more advanced data insights to its customers. Salesforce said, it will merge Tableau’s BI capabilities with its AI-based platform Salesforce Einstein. This acquisition has moved Salesforce’s customer 360 activity service up by a large margin.
4. RIB Software Acquires Datapine
In October 2019 RIB Software bought datapine, one of Europeans leading BI provider, to integrate it into their RIB MTWO platform. It should strengthen the platform by giving users the ability to analyze big data from different systems in one central place and taking advantage of modern features, based on artificial intelligence.
Changes to look forward to in 2020
Beroe Inc has estimated that the international demand for business intelligence and related prospects will grow by a CAGR of 7.6 percent in 2020. The rapid growth of the business intelligence industry has been attributed to the demand for big data analysis. It has been supposed that by 2021, the big data market will be worth approximately $90 billion worldwide, while the Big Data as a Service industry alone will command $28 million of the share.
The fact that many companies are making use of big data as a service on an industry-specific level is also adding to the demands on the business intelligence sector. By 2020, the amount of big data generated all over the world will be around 40 ZB. This massive amount of data needs appropriate handling and management, which is where the issue of business intelligence comes in.
By 2020, around 40 billion connected devices will exist, with a 42 percent increase in data services. This will also add significantly to the BI industry in the future.
While the positives will be plenty in number, there are a few constraints that will also emerge in the upcoming future of business intelligence. Implementation costs and complex data integration systems will prove to be an obstacle in the smooth propagation of big data analytics. However, infrastructure in many countries worldwide is changing to accommodate the shifts in the business intelligence system and ensure that the industries are up to date about the various happenings of the big data world.
It is safe to say that several good things await users in the new decade to follow. With an increasing number of smartphone users and widespread internet connectivity, big data will play an even bigger role in determining several aspects of e-commerce and other industries. It is going to be interesting to witness the subsequent mergers between BI and Big Data that occur in 2020 and after.