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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services. What differentiates Fractal Analytics?

Insurance 250
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CCaaS is a Vital Tool for Managing Customer Analytics

Smart Data Collective

According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers. However, now all customer analytics technology is created equal.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Do you know what motivates your customers?

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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. SaaS companies are no exception. It also helps improve marketing.

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Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

AWS Big Data

Event-driven model Event-driven applications are increasingly popular among customers. Analytical reporting web applications can be implemented through an event-driven model. The protocol is not designed for handling large analytical query data and in API Gateway, each frame’s payload can only hold up to 32 KB.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

They can focus on designing the core logic of their models without getting bogged down in data management complexities. Benefits for developers: By utilizing an abstraction layer, developers working on data analytics can focus on the core logic of their models.