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Informatica’s new data management clouds target health, finance services

CIO Business Intelligence

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140
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Fleet Management Firms Use Data Analytics for Optimal Customer Service

Smart Data Collective

More companies than ever are investing in customer service analytics. The customer service analytics market is projected to be worth $46.6 The fleet management sector is among those driving the growing demand. Many fleet management companies were reluctant to embrace the power of big data a decade ago.

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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing?

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7 Benefits of Managed Print Services for Data-Centric Companies

Smart Data Collective

Data-driven businesses must utilize a number of different services and tools to operate successfully. We have frequently talked about the benefits of using big data to make the most of your online marketing efforts. Managed print services are essential for each business. Saving Time & Efficiency. Saves Money.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases. Building trust in AI. Key questions for executives and leaders to answer about their AI strategy.

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Self-service vs Centralized Data Management: How to Leverage Data Lineage to Empower and Control

Octopai

In the era of big data, organizations are grappling with the challenge of effectively managing and leveraging vast amounts of data. Two prominent approaches have emerged: self-service data management and centralized data management.

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Data Management Services Help Your Business

TDAN

We are living in a world mapped by data points. Every customer and every opportunity are a combination of unique data points. Harnessing this data can transform your business potential to an […]. Technology is making it easier and easier to run a business, but sometimes you must step back and look at the big picture.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.

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Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

HR leaders in Financial Services are adopting the use of data and analytics faster than many other business functions and job roles. In fact, in a recent survey of 450 Financial Services professionals, 95% of respondents agreed that better integration of HR and Finance data was a top priority for the year.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.