Whether identifying consumer behavior and preferences or market trends and patterns, data analytics is proving to be significant for organizations. Companies are utilizing comprehensive data sets to make better and informed decisions for their business. Many enterprises are employing advanced analytics to organize large and varied data sets. Looking at the current customer demands, global big data analytics market is anticipated to grow by leaps and bounds in the upcoming years. One of the factors that positively impacts the market is the rapid increase in organizational data.
Expectations are that data analytics will make the impossible possible, but business are still in the early stages of data era. Currently, every organization is investing in data analytics capabilities to keep up with known or unknown developments and competition. The known data analytics development cycle is described as descriptive, diagnostic, discovery, predictive, and prescriptive analytics. In general, organizations currently find themselves in the diagnostic and discovery stages.
Organizations will not need to invest in data analytics platforms, because with the cloud all capabilities can easily be scaled to the organizational needs. This can include analytical building blocks, such as data lakes, machine learning tools and Hadoop, but also complete analytical visualization applications or apps readily available for enterprise resource planning (ERP) systems.
As companies are on forage for enhanced data analytics and better customer service, this edition of Startup City lists companies that are making a mark in this regard. The startups featured in this edition are capable of helping other companies in decision making.
We present to you Startup City’s ‘‘15 Most Promising Data Analytics Startups - 2018”.