BIG DATA MANAGEMENT, DATA SCIENCE

2022 Global data management research

August 26, 2022

2022 Global data management research
For all business leaders, the past two years have been filled with trial and error as we continue to navigate this unprecedented time of health and safety, regulations, and shifting consumer needs. As the global economy seeks stability throughout the fluid pandemic mandates, we are finding that high-quality data has been a key play to keeping customer centricity.

Spotlight

GrowingData

GrowingData build value from data. As specialists in data science, data engineering, software engineering and data visualization, we deliver solutions that help organizations generate real value from data. From matching algorithms, to big data, to predictive analysis and machine learning, Growing Data can devise, design and implement a solution that generate new revenue and new capabilities for your organization. Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. At GrowingData, we have been working with “big data” for the past 10 years, from financial market data, through to hundreds of millions of transactions and terabytes of text data. We understand and have used platforms such a Red Shift, Hadoop all the way through to super computers to deliver systems that separate the signal from the noise…

OTHER WHITEPAPERS
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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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SQL to NoSQL: Architecture Differences and Considerations for Migration

whitePaper | May 26, 2022

Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.

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How to Analyze and Maximize Customer Retention: Asset

whitePaper | May 10, 2022

Understanding all the factors that impact customer health and retention requires a comprehensive view of complex data.

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Application-Driven Analytics

whitePaper | September 28, 2022

By building smarter apps and increasing the speed of business insight, application-driven analytics gives you the opportunity to out-innovate your competitors and improve efficiency. However, it does require a shift in the way we think about and deliver analytics.

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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Spotlight

GrowingData

GrowingData build value from data. As specialists in data science, data engineering, software engineering and data visualization, we deliver solutions that help organizations generate real value from data. From matching algorithms, to big data, to predictive analysis and machine learning, Growing Data can devise, design and implement a solution that generate new revenue and new capabilities for your organization. Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. At GrowingData, we have been working with “big data” for the past 10 years, from financial market data, through to hundreds of millions of transactions and terabytes of text data. We understand and have used platforms such a Red Shift, Hadoop all the way through to super computers to deliver systems that separate the signal from the noise…

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