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5 Data Discovery Pitfalls – Enterprise Apps Today

I find this information from the article to be an especially important piece of the puzzle

Data visualization tools are only as good as the information that is inputted. If organizations lack an enterprise-wide data governance policy, they could be relying on inaccurate or incomplete information to create their charts and dashboards. Having an enterprise-wide data governance policy will help mitigate the risk of a data breach.

 

5 Data Discovery Pitfalls – Enterprise Apps Today.

Managing unstructured data in the organization

Provides great information as to what unstructrued data is, how it differs from structrued data, and what types of unstructred data you may see in your organization.

 

Managing unstructured data in the organization.

Decision time: Automated data integration tools versus manual coding

Like how the interview addresses the fact that you can, and probably should, have both ETL/Warehousing and other Data Integration tools.  Use the solution that is best suited for the specific data and the business need.

 

 

Decision time: Automated data integration tools versus manual coding.

Oh My Data!

Very interesting!

Data Warehousing and its History and Future

QlikView specialist

Data Warehousing

What is data warehousing? In the world of business intelligence, a data warehouse (DW or DWH) is the term used to describe a storage centre, or database, which is used strictly in regards to reporting and analytical purposes. A data warehouse is a compilation of data deposited from various sources, from operational systems such as marketing or sales, into a central location.  The function of the warehouse is primarily to store data used for supporting managerial level business decisions. This warehouse would be regularly maintained and managed by a data warehouse developer.

Data warehousing warrants a developer to keep everything flowing properly. What is a data warehouse developer? This is a person, or team, who is responsible for the development of the operational systems from which data is ultimately extracted for future reference. This extraction load is called an ETL (extract transform load).

An ETL-based data warehousing process consists…

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The State of Business Intelligence & Analytics in 2014

The SBS Group Blog

Dave Henschen, the executive editor of InformationWeek, released InformationWeek’s 2014 Analytics, BI, and Information Management Surveyin Q4, 2013 to preview how organizations expect to capture, analyze, report, and act on their data. The utilization of business intelligence plays a significant role in all four of these aspects. The main takeaway from the study shows the trend towards less complex and more visual analytics.

2013 was a big year for analytics and Business Intelligence (BI) products as 35 percent of survey respondents have standardized at least one analytic or BI product throughout their company. This is up from just 30 percent of organizations going into 2013. Clearly organizations are finding value in Business Intelligence tools as 97% of responding organizations deploy analytics and BI in some capacity.Analytics & Bi Deployment - 1

The biggest concern with analytics and BI is the data quality, as 59 percent of participants considered this the biggest barrier to successful…

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