Advanced Big Data Analytics Solutions

The purpose of big data analytics is to enable organizations to make data-driven decisions. The benefits of these data driven decisions can be seen in the form of optimized sourcing, more efficient manufacturing, quicker time to market, increased marketing ROI, increased conversions, increased customer engagement and acquisition, lower spendings, lower inventory holding costs, optimized logistics processes, and so on.

With the advent of the digital era, organizations have access to more in-depth information than ever, resulting in an explosion of structured and unstructured data all around them. Big data analytics can enable organizations to make sense of this data and uncover intelligent, actionable insights which help them drive innovation, growth, and market excellence.

The top industries making use of big data analytics are manufacturing, logistics and transportation, oil and gas, BFSI, communications, media and entertainment, healthcare and pharmaceuticals, retail and CPG, food and beverage, education, government, and automotive.

Big Data analytics is synonymous with other latest technologies like artificial intelligence, machine learning, deep learning, cognitive analytics. With the application of these fields into big data analytics, organizations will be able to scale efficiently, optimize profitability, and drive innovation like never before.

As more organizations and industries adopt big data analytics, more technologies will be developed to provide more accurate models, algorthims, and predictions. This will further lead to a surge in the applications and usage of big data analytics by organizations to gauge relevant insights, patterns, and market trends.

Big Data refers to significant volumes of data that cannot be processed with traditional analytics techniques and applications. Big data comprises of huge amounts of both, structured and unstructured data, which when used efficiently, can be used to unearth valuable insights that enable organizations to solve business challenges and take strategic decisions.

Data Science, on the other hand, is the field or domain that involves working with huga amount of data to obtain intelligent, actionable insights via analysis. For analysis of this data, predictive, prescriptive, or prescriptive analytical models are used, and the insights are visualized via dashboards for easy comprehension and operationalization.

The use of big data analytics can unearth valuable insights, patterns, trends, and corelations that can enable organizations to take faster, better decisions, solve complex business problems, gauge customer needs and market trends, track competition, eliminate inefficiencies across business functions and processes, and cut down on unnecessary expenses.

Test out Quantzig’s advanced big data analytics solutions to solve your complex business challenges at no cost with our 4-week complimentary pilot. This offer bears no hidden clauses and serves as a perfect opportunity to explore our value proposition and gauge organizational synergies.

During the 4-week pilot, you will be working with our advanced analytics experts who leverage the latest advanced analytics and visualization tools and techniques, statistical approaches, and platforms—designed and custom-built to suit your needs to deliver solutions with the power to transform your business.