Fraud Detection for Insurance Claims
Fraudulent claims cost the insurance industry billions annually, impacting profitability and leading to higher premiums for policyholders.
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We are the trusted partner & advisor in an organisation’s journey towards a fully data-driven business.
Fraudulent claims cost the insurance industry billions annually, impacting profitability and leading to higher premiums for policyholders.
read more- One of our client manages a data warehouse for its banking customers and needed support for managing qlik reporting and dashboards for its
read moreA large Insurance client has to automate its the Azure chargeback model, so that they can gain better visibility into their cloud spending,
read moreWe help small, medium and large enterprises to show their sales, budget vs forecast reporting real time basis on any BI tool..
read moreTPO is a data-driven approach that uses advanced analytics and consumer goods technology to optimise trade promotion budget and activities.
read moreMarketing mix modeling (MMM) is a statistical analysis technique that helps marketers measure the impact of their marketing efforts.
read moreA vendor selection model is a structured framework that helps businesses evaluate potential vendors. It's a tool for decision-making ..
read moreA "Competitor Analysis on Financial Results" involves comparing the financial statements (like income statements, balance sheets, and cash flow
read moreOur CPG clients wanted to track its major competitor`s revenue growth in its segment/ category, distribution, pricing etc. through the
read moreA sales forecasting case is a situation where a business uses sales forecasting to predict future sales and plan production.
read moreMultichannel advertising analytics is the process of collecting and analyzing data from multiple advertising channels to identify effective strategies and improve results.
read moreSentiment analysis is the process of analyzing text to determine if its emotional tone is positive, negative, or neutral. It's also known as opinion
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