Top 10 Data Analytics Services Companies – 2022
As affirmed time and again, data analytics has become a cornerstone of success for any organization, acting as the doorway to new business models, faster time-to-market, and improved decision making. In this rapidly accelerating market, key trends like AI, ML, and NLP are further enabling organizations to incorporate analytics-driven models to fuel fact-based decisionmaking, expand data-focused product offerings, streamline business processes, and drive business growth.
In light of these swift industry developments, the potential growth of the data analytics market is forecasted to be worth USD 196.47 billion by 2026, as per the latest market analysis reports. The reports also project the market to witness a growth momentum at a CAGR of 13.54 percent during the forecast period. The market growth can be primarily attributed to the increased adoption of hybrid cloud solutions that offer organizations a centralized database at a far cheaper cost. In addition, the phenomenal growth is also partly due to the inclusion of quantum computing technologies that are speeding up the processing capabilities of the enormous amount of data by using less bandwidth while also offering better security and data privacy.
On that note, this particular edition of CIOReview brings forth the most influential developments in the data analytics space that are augmenting day-to-day business operations.
It features thought leadership articles from Patrick Harms, AVP Data Analytics at Credit Union of America, and Sachin Tonk, Director of Data, Advanced Analytics and Privacy at Standard Chartered Bank, who speak about leveraging AI-powered synthetic data to control the data generation process itself and also shed light on automating a company's budgeting process using inputs from the company's operational system.
Along with these critical insights from industry experts, the edition elucidates premium data analytics solutions from the most promising companies on the rise, including Mu Sigma, which uses interactions between math, business, technology, behavioral science, and design thinking to accelerate an enterprise's data journey. We hope this edition will help you find the right data analytics solution provider that will empower you to increase operational efficiency all while lowering expenditure. Let us know your thoughts!