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Sagence is a firm for the intellectually curious. Below you can browse a selection of case studies, blogs, and point-of-view papers. To refine your search, simply apply a filter.

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Enhanced Data Quality Improved Predictive Modeling at a World Renowned Hospital

Sagence’s expertise in data quality, data visualization, and enterprise data warehousing helped a world-renowned hospital successfully utilize their predictive models to improve outcome measures.

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Lean Data Governance

A Lean Data Governance Approach Enabled Enterprise Data Sharing

Lean data governance helped a health system make data-driven decisions by reducing friction between data requesters and providers and enabling data sharing.

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Sagence Reference Data Project Management

Mastering Customer and Product Data Cost-Effectively in Healthcare

Sagence’s current state assessment and tool selection approach enabled a member-based physician organization to identify the most appropriate and cost-effective solution to satisfy its enterprise data governance and data management needs.

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Performance Dashboard Design for Streamlined Reporting

Our KPI dashboard design and implementation solutions helped a national pharmacy healthcare provider automate a tedious inventory reporting process, giving its analytics team time to perform value-add analysis.

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Sagence Enterprise Data Warehouse Case Study

Enterprise Data Warehouse Drives Evidence-Based Outcome Measures for World-Renowned Hospital

Sagence’s enterprise data warehouse and business intelligence services helped a hospital eliminate manual data mining and develop evidence-based outcome measures for patient care.

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Data-Driven Business Analysis Recaptures Business from Profitable Product Line

Sagence’s business analysis services helped a healthcare manufacturer identify areas of lost business by eliminating the ambiguity for the loss and developing a data-driven approach to recapture lost segments.

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Why Your Security Framework Can Make or Break Your CLM Strategy

The notion of Contract Lifecycle Management (CLM) is not a new concept; memorialized contracts are at the basis of nearly every significant event or obligation. From the Hollywood actor whose movie contract declares the specific number of films to appear in, or the exchange-traded wheat futures contract which states the amount and grade of wheat…

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4 Ways NLP Accelerates Contract Data Extraction

Accurate and targeted extraction of data from completed contracts is one of the main aims of any Contract Lifecycle Management platform. Unfortunately many current solutions, including Optical Character Recognition (OCR) and manual input screens require complex initial configuration as well as many resources devoted to data entry, review and/or correction. Natural Language Processing (NLP) is a technique…

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5 Signs Your Firm Needs to Invest in Contract Lifecycle Management

Within the past decade, focus on contract lifecycle management has become increasingly important. Due to the advent of complex financial instruments with a high dependency on nuanced financial and legal terms, many legacy contract structures run the risk of unenforceability. While firms pay considerable attention to negotiating the best terms in legal contracts, they must…

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The “New” Enterprise Data Architecture

Having an Enterprise Data Architecture that supplies sets of data quickly and securely to analysts is the key to unlocking insights for the Enterprise. Download our POV below. On May 14, 2009, the European Space Agency launched the Planck spacecraft. Its mission was to map cosmic microwave radiation background. This map demonstrated how each minuscule…

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What is the Big Data Gold Rush All About?

An article by Consulting Magazine, “Big Data’s Gold Rush,” examines the massive potential opportunity for both consulting firms and clients related to Big Data. But what does the Big Data opportunity really mean? What are the real obstacles for your firm? How should you approach the Big Data problem? TAKING ADVANTAGE OF THE OPPORTUNITY Many of…

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How Taxonomies & Ontologies Help Maximize Data Assets

An article by Thomas H. Davenport posted in the Wall Street Journal: CIO Journal, “It’s Way Too Late Not to Know Where Your Data Is,” examines several crucial steps companies must take to gain control of their data. As explained by Davenport, many corporations have similar fears about their data models: What is the state…

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