Theory and Strategies, Business Intelligence, Big Data Management

Unlocking the Business Value of the Data Lake

November 18, 2022

Unlocking the Business Value of the Data Lake
Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

Spotlight

Rulex, Inc.

Rulex Inc. offers the first-ever cognitive machine learning platform for the enterprise and the Internet of Things. The Rulex® platform eliminates the programming and math skills, speculative data exploration, and iterative experimental modeling required by conventional machine learning algorithms, dramatically accelerating, simplifying, and lowering the cost of Data Science. Rulex’s unique Logic Learning Machine software is based on groundbreaking academic and government research, and has been proven in business and IoT applications in Retail, Telecom, Healthcare, and Financial Services, and other industries. The Rulex LLM is different from other machine learning algorithms. It automatically discovers the most important source data and automatically creates the most efficient predictive models, in the form of fully transparent if-then logic rules, rather than “black box” mathematical functions. These rules can therefore be easily understood and audited by business and data analysts,

OTHER WHITEPAPERS
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Why Open Architectures Matter in BI: A White Paper on Openness

whitePaper | September 1, 2022

Lock-in occurs when the cost or effort of moving away from a particular choice (platform, vendor) outweighs the benefit of doing so, even if that choice is good for the business overall. The pain of moving is simply too great to consider doing it.

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Business Benefits of Investing in Data Privacy Management Programs

whitePaper | January 20, 2023

Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.

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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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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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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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PulseNet 2.0 White Paper

whitePaper | May 1, 2023

This document is intended to provide a high-level overview of the proposed data architecture for PulseNet 2.0. If the details come across as vague, that merely reflects where we are in the development phase. Further questions are welcome and can be directed to pulsenet@cdc.gov with “PulseNet 2.0” in the subject line.

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Spotlight

Rulex, Inc.

Rulex Inc. offers the first-ever cognitive machine learning platform for the enterprise and the Internet of Things. The Rulex® platform eliminates the programming and math skills, speculative data exploration, and iterative experimental modeling required by conventional machine learning algorithms, dramatically accelerating, simplifying, and lowering the cost of Data Science. Rulex’s unique Logic Learning Machine software is based on groundbreaking academic and government research, and has been proven in business and IoT applications in Retail, Telecom, Healthcare, and Financial Services, and other industries. The Rulex LLM is different from other machine learning algorithms. It automatically discovers the most important source data and automatically creates the most efficient predictive models, in the form of fully transparent if-then logic rules, rather than “black box” mathematical functions. These rules can therefore be easily understood and audited by business and data analysts,

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