Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken W. Collier

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing



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Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier ebook
Publisher: Addison-Wesley
Format: pdf
ISBN: 032150481X, 9780321504814
Page: 366


Feb 10, 2012 - Talend is an open source software vendor that offers open source data warehouse tools and ETL tools that support modeling, design, development, ETL testing, and deployment, all through an intuitive Eclipse-based development environment. Mar 18, 2014 - For years, many organizations had development shops that leveraged agile methods and practices for development projects other than data projects like business intelligence. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. This new survey-based research Professionals must shift development and deployment approaches so that systems are responsive to agile business needs and oriented toward providing self-service functionality to free users from dependence on IT. Jan 4, 2013 - The information that flows from BI, analytics, and data warehousing systems can help organizations find the right decision-making balance that avoids the extremes of snap decisions and rigid processes. Talend's data Our agile approach provides organizations with breakthrough insights and powerful data visualizations to rapidly analyse multiple aspects of their business in perspectives that matter most. Teradata has long provided an agile analytics data warehouse with an integrated data lab that provides a self-provisioning, self-service environment for swift prototyping and analysis on new, external and uncleansed data. Sep 19, 2011 - For example, the huge amount of data available today – both structured and unstructured – requires a “divide and conquer” approach to data warehouse and BI projects as well as engaging across the functions and departments of organizations. Apr 30, 2014 - As a result, there is confusion around their use in business intelligence and analytics communities with assumptions that NOSQL (Not Only SQL), NewSQL databases are a replacement for the relational databases in BI and analytics. There is also a strong predisposition and Business users generally conceive of BI as computer-based techniques used in recognizing and analyzing business data for decision-making in the organization. Today, agile is For example, an insurance company moved to an agile development process for all business analytics projects, adopting techniques such as paired programming, story walls and test-driven development. On the other hand, when the business users control their own data and BI, they can be much more agile and thus able to glean more value from their data, faster.