Cloud Analytics on Google Cloud Platform with BigQuery and Informatica Intelligent Cloud Services

January 17, 2019

Data-driven digital transformation initiatives leverage analytics technologies, and the power of trusted and timely data to deliver new insights, innovation, and faster decision making. The result is greater business agility and an enhanced competitive edge. New cloud-based technologies for analytics make it economically possible to ask questions involving a wide variety of data sources in ways that were never before possible.

Spotlight

ThoughtSpot

ThoughtSpot is the AI-Powered Analytics company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search powered by large language models to ask and answer data questions with confidence. ThoughtSpot enables everyone within an organization to limitlessly engage with live data in any popular cloud data platform, making it easy to create and interact with granular, hyper-personalized, and actionable insights. Customers can take advantage of both ThoughtSpot’s web and mobile applications to improve decision-making for every employee, wherever and whenever decisions are made.

OTHER WHITEPAPERS
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Data Architecture Series - The unified data fabric

whitePaper | September 8, 2022

Enterprises today have to contend with exponentially increasing volumes of batch and streaming data, comprising a variety of structured, unstructured, and semi structured data types, and originating from an expanding number of disparate sources located on-premises, in the cloud and at the edge.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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Big Data and AI for The Financial Sector: Challenges and Opportunities

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

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Data Governance Is Valuable Moving to an Offensive Strategy

whitePaper | October 20, 2022

Data governance defines how data should be gathered and used within an organization. Download this whitepaper to understand how it's linked to business success.

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Data Strategy in Connected Business Models

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

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Active Data Governance Methodology

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

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Spotlight

ThoughtSpot

ThoughtSpot is the AI-Powered Analytics company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search powered by large language models to ask and answer data questions with confidence. ThoughtSpot enables everyone within an organization to limitlessly engage with live data in any popular cloud data platform, making it easy to create and interact with granular, hyper-personalized, and actionable insights. Customers can take advantage of both ThoughtSpot’s web and mobile applications to improve decision-making for every employee, wherever and whenever decisions are made.

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