Are you looking to increase the efficiency of your business processes?
Big data analytics is the kingpin for success in today’s excessively data-driven world. Conventional analytics-based methodologies consume historic data to analyze past inconsistencies. This reactive approach does not help businesses to predict future trends and cannot handle large data volumes either. The traditional BI and big data analytics tools need to be replaced with more advanced big data analytics solutions. Backed with AI, powerful big data analytics tools, and over a decade of experience in working with clients across industries, Quantzig’s big data analytics solutions can help you transform business operations and create new business models that aid continuous process improvements.
See how we can help you bridge the gap between analytics insights and business logic to witness the impact of our solutions.
Start your free 4-week pilot today.
Years of experience in the space of advanced analytics solutions
Clients from across the globe, including 55 Fortune 500 companies
Experienced data scientists, analytics experts, and consultants
Successful project completions with proven impact of solutions
How Does Quantzig Work?
Our big data analytics experts understand that today’s growth-hungry enterprises need a highly proactive approach, which is why they’ve developed a comprehensive suite of big data analytics solutions that leverage cognitive technologies and algorithms that can help businesses to identify future trends and drive growth.
Data Integration and visualization
Quantzig’s advanced big data analytics enables you to aggregate structured, semi-structured, and unstructured data from various touchpoints to provide a 360-degree view of disparate data sources and create custom analytical views with flexibility and ease of use that simply didn’t exist before.
Implement Quantzig’s advanced big data analytics solutions to gain instant insights into customer paths and behavior. Analyze digital footprint of visitors, personalize user experience, and increase conversions with the help of AI and big data analytics.
Sensor Data Analytics
Quantzig’s sensor data analytics solutions can help you leverage cognitive technologies to collect, analyze and visualize real-time and historical machine data from disparate sources such as- operational technology, connected devices, and products, enabling you to improve operations, ensure compliance, perform predictive maintenance and better manage the uptime and availability of industrial assets.
FAQs – Big Data Analytics
What is big data analytics and why is it Important?
Big data analytics is the examination and analysis of examining staggering data volumes to uncover intelligent, actionable insights. Big data analytics can help organizations find hidden patterns, corelations, trends, customer preferences, that can enable organizations to improve their business processes and value offerings, thus increasing sales, efficiency, and profitability.
What is the purpose of big data analytics to business?
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.
Which industries can benefit from big data analytics?
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.
What is the future of big data analytics?
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.
What is difference between data science and big data?
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.
Why should I choose big data analytic solutions?
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.
How do I test if big data solutions works for my organization?
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.
The staggering data volumes and the complexities associated with them make it a huge challenge to comprehend the available pieces of information and extract actionable insights. Factors such as these have made it vital for businesses to leverage analytics and AI to transform business operations and create new business models that aid continuous process improvements. Backed with powerful big data analytics tools and over a decade of experience in working with clients across industries, our big data analytics solutions can help you break data silos and unearth valuable insights to act upon.
Request a free proposal today to make use of our advanced big data analytics solutions to deliver intelligent, agile solutions to identify future trends, accelerate innovation, increase revenues, and reduce costs.
Our Latest Articles
Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...
Benefits of Pricing Analytics S NoPricing Analytics Benefits1.Identifying Pricing Opportunities2.Planning Pricing Strategies and Promotions3.Improves Operational Efficiency4.Getting Stakeholders to Buy into the Pricing Strategies5.Optimize Pricing The Need for Pricing...
What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...