Capturing and documenting the business requirements for BI solution
Translating business requirements into technical requirements
BI project lifecycle and management
Key Performance Indicators (KPIs), actions, and stored procedures
User education and training
Data-based decision making
Effective communication and consultation with business users
Business Intelligence (BI) Specialist works with business users to obtain data requirements for new analytic applications, design conceptual and logical models for the data warehouse and/or data mart and communicate physical designs to the database group. The BI specialist also develops processes for capturing and maintaining metadata from all data warehousing components.
Business Intelligence Developer is responsible for designing and developing Business Intelligence solutions for the enterprise. The Developer works on-site at the corporate head quarters. Key functions include designing, developing, testing, debugging, and documenting extract, transform, load (ETL) data processes and data analysis reporting for enterprise-wide data warehouse implementations. Responsibilities include: working closely with business and technical teams to understand, document, design and code ETL processes; working closely with business teams to understand, document and design and code data analysis and reporting needs; translating source mapping documents and reporting requirements into dimensional data models; designing, developing, testing, optimizing and deploying server integration packages and stored procedures to perform all ETL related functions; develop data cubes, reports, data extracts, dashboards or scorecards based on business requirements.
The Business Intelligence Report Developer is responsible for developing, deploying and supporting reports, report applications, data warehouses and business intelligence systems. Primary responsibilities include creating and automating quality control processes and methods, providing maintenance and enhancement of data warehouse reports, creating ad hoc data warehouse queries, solving data related reporting issues and documenting all reports created. The report developer must have experience in user facing roles (e.g. gathering requirements, establishing project objectives, leading meetings) and in developing, selecting and conducting user training as needed. The Developer also participates in all aspects of data warehouse projects including conceptualization, design, construction, testing, selection, deployment and post-support implementation.
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Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.
Dashboards : Typically, information is presented to the manager via a graphics display called a Dashboard. A BIS (Business Intelligence System) Dashboard serves the same function as a car’s dashboard. Specifically, it reports key organizational performance data and options on a near real time and integrated basis. Dashboard based business intelligence systems do provide managers with access to powerful analytical systems and tools in a user friendly environment.
Enterprise resource planning ( ERP ) is a company-wide computer software system used to manage and coordinate all the resources, information, and functions of a business from shared data stores.
Online analytical processing, or OLAP is an approach to quickly answer multi-dimensional analytical queries. OLAP is part of the broader category of business intelligence, which also encompasses relational reporting and data mining. The typical applications of OLAP are in business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas. The term OLAP was created as a slight modification of the traditional database term OLTP (Online Transaction Processing)
Multidimensional/ hyper cubes : A group of data cells arranged by the dimensions of the data. For example, a spreadsheet exemplifies a two-dimensional array with the data cells arranged in rows and columns, each being a dimension. A three-dimensional array can be visualized as a cube with each dimension forming a side of the cube, including any slice parallel with that side. Higher dimensional arrays have no physical metaphor, but they organize the data in the way users think of their enterprise. Typical enterprise dimensions are time, measures, products, geographical regions, sales channels, etc. Synonyms: Multi-dimensional Structure, Cube, Hypercube