Inquiry 
#BusinessIntelligence: for a better Control of Data
Business intelligence (BI) is a subject in full evolution, addressing the general management as well as the trades. BI helps decision-makers to get an overview of the different activities of the company and its environment. This cross-sectional view requires knowledge of the various business lines and involves certain organizational and managerial specificities. From the exploitation of business data to IT governance, the Business Intelligence point of view, and its decision-making tools such as reporting, dashboard and predictive analysis are so important for the success of a business.
The organization of BI in the company is highly dependent on the organization of the company itself. However, BI can have a structuring impact for the company, notably through the formalization of data repositories and the setting up of a competence center.
What is the purpose of Business Intelligence?
Business Intelligence (BI) encompasses IT solutions that provide decision support to professionals with end-to-end reports and dashboards to track analytical and forward-looking business activities of the company.
This notion was appeared in the end of the 1970s with the first infocentres. In the 1980s, the arrival of relational databases and the client / server made it possible to isolate production computing from decision-making devices. At the same time, different actors embarked as specialist of “business” layers analysist, in order to mask the complexity of the data structures. Beginning in the 1990s and 2000s, BI platforms were built around a data warehouse to integrate and organize information from enterprise applications (extraction, transfer and Consolidation). The only objective was to respond optimally to queries from reporting tools and dashboards of indicators and made it available to operational managers.
How does decision-making tools work today?
Over the past few years, BI platforms have benefited from NoSQL databases, enabling them to directly process unstructured data. Today Business Intelligence applications benefit from a more powerful hardware architecture, with the emergence of 64-bit, multi-core, and in-memory (RAM) architectures. In this way, they can execute more complex processes, such as data mining and multidimensional analyzes, which consist in modeling data according to several axes (turnover / geographical area, customer, product category, etc.). ..).
Which fields are covered by the BI?
Traditionally focused on accounting issues (consolidation and budget planning), BI has gradually expanded to cover all major areas of the company, from customer relationship management to supply chain management and human resources.
- Finance, with financial and budgetary reports, for example;
- Sale, with analysis of sales outlets, analysis of the profitability and impact of promotions for example;
- Marketing, with customer segmentation, behavioral analysis for example;
- Logistics, with optimization of inventory management, tracking of deliveries for example;
- Human resources, with the optimization of the allocation of resources for example;
Keep buy cialis levitra Calm, Boy Keep stress at bay. You need not worry for the side effects of the original canadian viagra store . The misleading cialis sales has been restricted and negatively advocated by large companies and reputable laboratories due to the hereditary problem or trauma caused to your penis. Prostate cancer is any sort of malignant expansion within the prostate. levitra buy online
Specialized publishers have developed ready-to-use indicator libraries to monitor these different activities. Finally, with the emergence of new web technologies (including HTML5 and the JavaScript and AJAX graphical interfaces) we’ve seen the appearance of new players proposing a BI approach in the cloud or SaaS mode.
Today, information is omnipresent; the difficulty is not to collect it, but to make it available in the right form, at the right time and to the right person, who will know how to exploit it and drive added value. So the BI market offers fairly comprehensive and complete solutions for the data reporting and consolidation aspects of both proprietary and open source domains. Possible developments in the short to medium term would include proactive and simulation analysis tools as well as the interactivity and user-friendliness of data access and the combination of structured and unstructured data from Internal and external data.