What is business intelligence, and why is the fast creation and delivery of business intelligence essential?
Business Intelligence refers to computer-based techniques used in identifying, extracting and assessing business data. It includes the technologies of reporting, analytical processing, data mining, analytics and benchmarking among other disciplines.
The ultimate intention behind business intelligence (BI) activities is to produce purposeful material from raw data so that business decisions may be made. Because of the massive and increasing loads of business data sourced from web logs, points of sale, call detail records, and so on, an efficient BI system requires that all this computer data stored in very large files and database tables - are made and analyzed quickly.
The faster the data are analyzed and presented for decision making, the quicker business decisions can be accomplished. The timeliness of this information has competitive consequences for: pricing and advertising, product features and launch schedules, consumer relations and political campaigns, reactions to privacy threats, web promotions, airline and bank fee determinations, just-in-time supply chains, and so on.
The process of transforming and integrating (i.e.) preparing) functioning data for BI purposes is sometimes called data franchising. This refers to the staging of information for hand-offs to BI and data presentation programs similar to BIRT, Cognos, Excel, and Microstrategy. The data transformation activities can include: sorting, joining, aggregating, filtering, cross-calculating, cleaning, sub-setting, and reformatting.
While many BI tools incorporate these data integration features, or connect with databases to provide these services, the transformation of big data in the BI or database layer is inefficient. These particular tools are not made to modify or assimilate massive amounts of raw data, and faced with it, they might either take too long to provide the desired reports, or perhaps even crash. Imagine requiring Excel to open a 30GB CSV file
How does one speed Business Intelligence?
Use a quick information franchising tool and externalize the transformations in the file system where databases and BI tools are left to do what they do best queries and reports.
In numerous large-scale data warehouse, data mart, and BI areas, data files are staged in sequential (flat) files where preparatory manipulations can occur rapidly, utilizing the many threads, I/O and memory resources available to the data file or operating system. IRI's CoSort package leverages this environment, and can perform most of these changes on data from many places at a time. Multiple targets in multiple formats can be generated - like joined, aggregated, and filtered subsets in CSV and XML format - so that BI applications can utilize that 'boiled down' data right away.
So, are you managing big data files efficiently, or is it controlling you? Effective business intelligence tools should help companies automate and manage many of the routines involved in handling huge numbers of information in order to help them make the best business decisions.
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