A Business Guide to Modern Predictive Analytics

May 7, 2019

Modern predictive analytics can empower your business to augment historical data with real-time insights then harness this to predict and shape your future. Predictive analytics is a key milestone on the analytics journey a point of confluence, where classical statistical analysis techniques meet the new world of artificial intelligence (AI).

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Dw Practice

DW Practice, LLC is a specialist Data Warehousing, Business Intelligence (BI) and Big Data Services Company. DW Practice has been delivering innovative data management services for over 15 years. We have successfully deployed several large DW-BI-Big Data projects around the world for Fortune 500 and mid-market clients. Anvizent is a product of DW Practice. It is a comprehensive, ready-to-use solution for Manufacturing Business Intelligence, Performance Management, and Analytics…

OTHER WHITEPAPERS
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How AI-Powered Analytics Transforms LIMS Data into Valuable,Action-Ready Insights

whitePaper | December 5, 2022

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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Democratizing Data Analytics in Financial Services

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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2022 Data Industry White Paper

whitePaper | December 27, 2022

The 2022 data industry white paper consists of five parts. Part 1 discusses data sharing between individuals, across countries and within companies, under this year's theme of 'Data Sharing.' Part 2 summarizes the major policies, legislation, and systems related to the data industry in Korea and abroad. Part 3 deals with the current status of Korean and global data industry markets. In Part 4, the status of each industry based on business data is examined. Part 5 reviews technologies related to data sharing and utilization. Overall, this white paper uses infographics to summarize the flow of related policies, legislations, and institutions that have been promoted over five years, and highlights the main data issues experienced in Korea this year based on data analysis.

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Spotlight

Dw Practice

DW Practice, LLC is a specialist Data Warehousing, Business Intelligence (BI) and Big Data Services Company. DW Practice has been delivering innovative data management services for over 15 years. We have successfully deployed several large DW-BI-Big Data projects around the world for Fortune 500 and mid-market clients. Anvizent is a product of DW Practice. It is a comprehensive, ready-to-use solution for Manufacturing Business Intelligence, Performance Management, and Analytics…

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