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SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Similarities and dissimilarities between visual data discovery tools and traditional BI tools.

Although visual data discovery tools give a faster insight and better exploration than traditional BI tools, these have two things in common i.e. data validation and user training. With the help of both visualization of data discovery tools and BI tools users can dig into the data with simple queries, find out patterns and trends by looking at the data graphically. Previously, there was involvement of IT in data analysis in the form of building a metadata layer of abstraction from a physical database scheme with many tables, but now the visual data discovery tools automatically models a metadata layer. It is of utmost importance to know how to use visualization effectively for data analysis. Thus, user training is still important for gaining success. Also data validation cannot be ignored because data validation policies and procedures must be applied before the data is entered into a database.To read more follow:- http://it.toolbox.com/blogs/it-solutions/two-ways-visual-data-discovery-tools-differ-from-traditional-biand-two-ways-they-are-the-same-74024

 

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Business Intelligence makes real estate easier : How?

We can now analyze real estate data with the help of Business Intelligence or BI. BI tools are also beneficial for sellers and brokers. These tools can track prior industry performance statistics, such as sales in a given area, which in turn help sellers set asking prices that are actually competitive. In short, they are making marketing easier. For more read the article written by Sean Mallon (blogger) : http://www.smartdatacollective.com/seanmallonbizdaquk/402264/how-business-intelligence-making-real-estate-easier

 

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SQL Server 2016: A tool to power critical decision making solution

Microsoft recently announced upgraded model of SQL server, which includes reporting services, analysis services and Integration Services to help companies in critical decision making. SQL server 2016 includes non-clustered columnstore index support with columnar index in-memory or on-disk row store for deploying an operational analytics and it has polybase. SQL server 2016 made several improvements in analytical services such as enterprise readiness, modelling platform, BI tools, SharePoint integration, and hybrid BI. An SQL server 2016 analysis service also provides functional parity with SharePoint vNext and Excel vNext. To know more about SQL server 2016 features, please follow this link: http://sqlmag.com/blog/what-coming-sql-server-2016-business-intelligence

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