Alena Semeshko, Author at Altoros https://www.altoros.com/blog/author/alena-semeshko/ Insight Thu, 04 Jan 2024 01:48:07 +0000 en-US hourly 1 https://wordpress.org/?v=6.0.6 https://www.altoros.com/blog/wp-content/uploads/2022/03/favicon.ico Alena Semeshko, Author at Altoros https://www.altoros.com/blog/author/alena-semeshko/ 32 32 Business Intelligence Predictions for 2009 https://www.altoros.com/blog/business-intelligence-2009-predictions/ https://www.altoros.com/blog/business-intelligence-2009-predictions/#respond Thu, 12 Mar 2009 01:29:31 +0000 https://www.altoros.com/blog/?p=49282

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BI forecasts

Wayne Eckerson

In January, Jeff Kelly from SearchDataManagement.com gathered and posted various forecasts as to what awaits the Business Intelligence industry in 2009. The analysts and experts sharing their predictions were: Wayne Eckerson (Director of Research and Services for the Data Warehousing Institute), James G. Kobielus [...]

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MDM Longs for Data Quality and Solid Grounds https://www.altoros.com/blog/data-management-longs-for-data-quality-solid-grounds/ https://www.altoros.com/blog/data-management-longs-for-data-quality-solid-grounds/#respond Thu, 19 Feb 2009 23:53:26 +0000 https://www.altoros.com/blog/?p=49516

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MDM in brief

The objective of Master Data Management is to provide and maintain a consistent view of a company’s main business entities. Many MDM applications concentrate on handling customer data, because it improves sales, marketing, and other business-critical operations.

A unified, consistent view of dispersed information can be [...]

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The Dos and Don’ts of Data Integration https://www.altoros.com/blog/the-dos-and-donts-of-data-integration/ https://www.altoros.com/blog/the-dos-and-donts-of-data-integration/#respond Tue, 02 Dec 2008 23:25:18 +0000 https://www.altoros.com/blog/?p=49366

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Making an asset of your database

Extracting and normalizing customer data from multiple sources is the biggest challenge with client data management (54%), according to a report the Aberdeen Group. OK, true, a lot of companies consider linking and migrating customer information between databases, files and applications [...]

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Implementing a SaaS-Based CRM: Best Practices and Forecasts https://www.altoros.com/blog/saas-grows-saas-crm-flourishes-crm-integration-becomes-easy/ https://www.altoros.com/blog/saas-grows-saas-crm-flourishes-crm-integration-becomes-easy/#respond Mon, 01 Dec 2008 03:11:24 +0000 https://www.altoros.com/blog/?p=49324

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$6.4 billion spent on software as a service

Sharon Mertz

I’m sure you’ve already heard how Gartner forecasts the worldwide enterprise software-as-a-service market to jump up to $6.4 billion this year, up 27% from 2007. Moreover, the company estimates the market will reach $14.8 billion in 2012. Among [...]

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Ignoring Security Harms Data Management https://www.altoros.com/blog/ignoring-security-leads-to-huge-data-management-problems/ https://www.altoros.com/blog/ignoring-security-leads-to-huge-data-management-problems/#respond Wed, 26 Nov 2008 08:49:00 +0000 https://www.altoros.com/blog/?p=49675

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Heterogeneous data as a threat

Ponemon Institute surveyed 870 IT professionals and found “nearly 70% feel that access to their unstructured data by employees is very often unwarranted.” Furthermore, 84% admit this data “is accessible by people with no business need for access.”

The problem usually lies in the way [...]

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Data Quality: Upstream vs. Downstream https://www.altoros.com/blog/data-quality-upstream-or-downstream/ https://www.altoros.com/blog/data-quality-upstream-or-downstream/#comments Mon, 17 Nov 2008 00:36:54 +0000 https://www.altoros.com/blog/?p=49382

A new Forrester report

Data quality problems cost US businesses more than $600 billion a year, according to The Data Warehousing Institute (2002). How does that happen? How come companies are losing this much money and not even realizing there’s a way to save up?

The major problem usually lies in the [...]

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Solving the Problems Associated with “Dirty” Data https://www.altoros.com/blog/solving-data-quality-problems-in-three-steps/ https://www.altoros.com/blog/solving-data-quality-problems-in-three-steps/#comments Thu, 13 Nov 2008 22:32:46 +0000 https://www.altoros.com/blog/?p=49602

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Don’t waste on data quality

Data quality problems cost U.S. businesses more than $600 billion a year, according to The Data Warehousing Institute (2002). How does that happen? How come companies are losing this much money and not even realizing there’s a way to save up?

The major problem [...]

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Data Federation vs. Data Warehousing vs. Data Integration https://www.altoros.com/blog/data-federation-vs-data-integration/ https://www.altoros.com/blog/data-federation-vs-data-integration/#comments Sun, 28 Sep 2008 01:43:41 +0000 https://www.altoros.com/blog/?p=49390

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A single view of data without moving it

Data federation can be understood as an approach to joining information from different sources—distributed around the company—without actually moving it from the original source. That is to say, data federation software creates a single repository that doesn’t contain the data itself, [...]

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Corporate Analysis and Business Intelligence Lack Data Quality https://www.altoros.com/blog/accelerating-business-intelligence-with-data-integration-and-data-quality/ https://www.altoros.com/blog/accelerating-business-intelligence-with-data-integration-and-data-quality/#respond Mon, 22 Sep 2008 01:48:04 +0000 https://www.altoros.com/blog/?p=49394

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What do companies lack in BI?

As much as companies are talking of committing to business intelligence (BI) principles in their daily work, the concept of BI still seems to be tricky. The one thing that requires the utmost attention in all cases is data quality.

According to a Gartner [...]

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Enterprise Mashups Enter the Scene https://www.altoros.com/blog/enterprise-mashups-enter-the-scene/ https://www.altoros.com/blog/enterprise-mashups-enter-the-scene/#respond Tue, 09 Sep 2008 22:09:53 +0000 https://www.altoros.com/blog/?p=49638

The next level of data integration

Mashups integrate data from different sources, including both desktop and web-based apps—such as maps, RSS, news media, or even CRM systems. Being quite flexible by nature, they help to easily get information from heterogeneous environments, providing customized data integration workflows. There are plenty of awesome [...]

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