Get big data management, big data analytics,
predictive analytics, and more
Big Data Analytics and Insights
BluEnt’s big data analytics team gathers insights and decodes big data. Our focus is on helping organizations make profitable, data-driven decisions.
With tools and algorithms, organizations can gather, analyze and transform data into profitable, actionable insights.
Advantages of analytics
Improved marketing strategies and campaigns
Synchronized financial and operational strategy
Optimized internal process
Improved existing products and services
New product and service ideas
Analyzing business data from websites, social networks, business applications or machine logs opens up a world of opportunities. With terabytes or gigabytes of data, BluEnt can deliver what big organizations do with petabytes.
We have the expertise to get rid of the lengthy processes that restrict the entry of smaller enterprises into the world of big data.
Our services include
Sales force optimization
Promotional codes insight
New product ideas
Product portfolio allocation and optimization
Country and category prioritization
Marketing mix model development
Up-selling & cross-selling strategy
Customer buying patterns
BluEnt provides our clients with accurate and comprehensive insights. We have a team of data analysts, business analysts and technical specialists who work with your organization and ensure that your critical business decisions are based on the latest, most reliable insights.
BluEnt develops reliable predictive models so organizations can better understand their consumers’ future behavior.
Advantages of predictive analytics
Drive Buyer Preferences: Analyze the customer-buying pattern and up-sell/cross-sell related products and services to them.
Improved Pricing Strategy: Analyze the sales data and decide whether to increase or decrease the price for a particular product or service.
Identify Loyal Customers: Analyze historical data to identify loyal customers and develop retention plans for them.
Identify Rewards and Risks: Analyze historical and transactional data of a customer to identify the risk or opportunity associated with that customer.
Forecast Marketing Budget: Analyze the marketing budget of previous years and predict where to spend more to maximize returns on marketing spend.
Better Campaign Management: Analyze the click-through rates of previous campaigns and recommend the best timing for maximum click through.
How it works
Predictive analytics is the process of extracting information from big data and using it to predict future trends and behavior patterns.
It captures relationships between explanatory variables and predicted variables from the past occurrences and exploits them to predict future outcomes. It encompasses a variety of techniques, from statistics and data mining, that process current and historical data.
A well-known application, for example, is credit scoring, which is used in financial services. Scoring models process a customer’s credit history, loan application, customer data, etc., to rank-order individuals by their likelihood of making future credit payments on time.
Want to streamline your processes with data management services? Contact us now!