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Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab
Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of

unstructured data with  pattern recognition of massive unstructured data containing intelligence. I was able to find that intelligence and develop a Semantic Intelligence (SI) Engine. I then gathered several data scientists to develop our Knowledge Generation Engine to be applied to text—the most underrated unstructured piece of data in all our databases. I partnered with Mark Hurst, chief technology officer (CTO) of Cirilab, who has a background in science and artificial intelligence. Mark is currently focused on text Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » unstructured data with


Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge
With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only

unstructured data with  Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

unstructured data with  leveraging the value of unstructured data in both master data and business intelligence applications. This is especially the case for customer and product data, which may be managed in unstructured files, or encapsulated in a single field with a structured file or database. To be useful this unstructured data must be cleansed and transformed into a semi-structured (XML, for example) or structured format. Cleansing and transforming unstructured data improves operational efficiency and can add significant Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

unstructured data with  help provide structure to unstructured data and identify important information that may be hidden in large datasets, and matching that can be used for deduplication. In addition to a batch architecture, the solution also supports a real-time architecture in which processes developed using dn:Director can be applied to Java Messaging Service (JMS) transactions in order to validate data in real time. Everything's Got a Moral, If Only You Can Find It The primary purpose of a BI solution is to provide a Read More...
Content Is King-Applying Intelligence to Unstructured Data
On March 23, I have the opportunity to lead a seminar at the info360 conference in Washington, D.C., on the use of business intelligence (BI) applications and

unstructured data with  Is King-Applying Intelligence to Unstructured Data On March 23, I have the opportunity to lead a seminar at the info360 conference in Washington, D.C., on the use of business intelligence (BI) applications and technologies to analyze unstructured data. In preparing for this seminar, I came across an article written by Bill Gates back in 1996 entitled “ Content is King .” And although the theme of that article is different from the approach of this post, both highlight the importance of various types Read More...
Analyzing Big Data: The Path to Competitive Advantage
Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product

unstructured data with  Big Data: The Path to Competitive Advantage Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product reviews, video, blogs, tweets, and more. But the biggest current challenge may be to articulate a compelling business case for using big data. Find out how companies in various industries are finding value in the data they have already collected and making it actionable. Read More...
Turning Information and Data Quality Into Sustainable Business Value
Driven by a number of developments in society, the economy, and technology, corporate data management is increasingly gaining importance, and emerging

unstructured data with  Information and Data Quality Into Sustainable Business Value Driven by a number of developments in society, the economy, and technology, corporate data management is increasingly gaining importance, and emerging technologies such as in-memory computing allow companies to make the best use of their data. This white paper gives guidance to companies undertaking this endeavor and provides a sound overview of corporate data quality management capabilities and practices. Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

unstructured data with  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

unstructured data with  Use of Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

unstructured data with  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

unstructured data with  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk Read More...
Be Bold with Benefits but Subtle with Pains
While prospects often justify their purchases because you show them how your software solves their pain, they do not appreciate being told how bad they really

unstructured data with   Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

unstructured data with  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

unstructured data with  in, Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at Read More...

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