Insurance

Provide right product to right customer, analyze customer history to track suspicious claims and give the best price at the right time to increase profit.

EzDataMunch’s suite of pre-built insurance analytics dashboards gives companies real-time visibility in all of their business processes. Our easy to use and highly scalable solutions transform complex data into graphical charts in minutes. This information is available to managers anywhere and anytime and helps them take data driven decisions.

Adhere to regulations, keep competitive pricing and improve profits by using our Insurance Analytics solutions.

Increased competition and stringent regulations have created pressure on insurance companies to improve their products and enhance their operations. Customers are demanding more transparency in terms of product information and documentation and lesser time for claim disbursement. Insurance companies are facing fraudulent claims which are increasing at an alarming rate. This scenario has pushed companies to have a comprehensive insurance data analytics solution that can help them in proper pricing of their product, manage assets and reduce risk. Insurance companies are rife with data.

  • This data is being generated from disparate systems such as claims management and call centers.
  • Customer’s data through marketing channels and customer behavior.
  • Insurance application forms and data from brokers or agents.
  • The challenge here is how to empower leaders at various levels to use this data and make informed decisions.

Claims

Reduce claims processing time, avoid frauds & eusure custome satisfaction.

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Risk

Identify account & product risk, evade fraud & adhere to business rules.

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Premium & Loss

Understand premium & loss per product, customize products, forecast profits

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Blogs

How to Use Simple Date Functions in QlikView and QlikSense

In the present competitive world, all organizations are showing an interest in Business Analytics by using different technologies like QlikView, QlikSense and Tableau etc. In different technologies, Year wise and Period wise analysis plays a major role for monitoring...
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How to get started with NPrinting?

What is NPrinting and why it is used? Historically, QlikView has not had a particularly strong ability to print or publish reports. Qlik has preferred to concentrate their efforts on the strengths of QlikView - business intelligence and data discovery. This has lead...
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Implementation of Incremental Load in QlikView and its Benefits

Why Incremental Load? Is your BI Application hitting Database for large volumes of data? If so, is it happening frequently? As BI applications are expected to deal with larger data sets, there is a need for frequent refreshes to get the updated data. In both the...
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5 Milestones (Discoveries) driving Effective QlikView BI application

1) Data Access Layer: QlikView Adopts Multiple Data Sources. The QlikView Data Access layer supports heterogeneous data sources to load the data. Unlike all other reporting tools QlikView Data can be sourced from different databases using standard ODBC, OLEDB and JDBC...
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Patient Care Analysis

Why Patient care analysis is important for Hospitals? In a 2009 report called "Crossing the Quality Chasm", the U.S. Institute of Medicine defined patient - centred care as: “providing care that is respectful of and responsive to individual patient preferences, needs,...
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Six Rules to become a Quality QlikView Developer

If you have learned many programming languages but not settled in your career, QlikView can definitely boost your career. As a QlikView Developer, I would like to share my thoughts here. QlikView is growing rapidly. With over 30,000 customers, demand for skilled...
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9 Reasons To Have Advanced Business Intelligence Tools

Generates Reports Quickly. There are multiple departments and processes in an organization. Thus data is scattered across the organization in various formats. Lot of effort is required to gather the data, cleanse it and convert it into desirable format for analysis...
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6 Answers to Bolster Your Predictive Workforce Analytics Efforts.

Interview with Co-founder and President of EzDataMunch, Anupama Desai. Q: How is a specific line of business / business unit using your EzDataMunch predictive Workforce Analytics Software and Apps? How is your product deployed into operations? A: EzDataMunch is being...
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7 ways analytics can help Supply Chain.

There are multiple factors that affect the success of supply chain process. These factors can be divided into four broad categories such as Political, social, economical and technology. Each category encompasses various elements such as increased regulatory pressure,...
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Part 2: BI Software Implementation Pitfalls – Tips for a successful Proof of Concept.

Address future requirements as well as current ones.
Consult with your own IT professionals.
Refuse to invest a lot of money in a POC.
Focus on BI dashboard capabilities –don’t get distracted by pretty visuals.

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insurance analytics

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Key KPIs for health insurance analytics.

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