Business of data warehousing foundations essay

However, business executives are faced with the time constraints when analyzing data, thus, data warehousing over the mobile computing have come into existing to assist in analyzing data quickly anywhere to assist in enhancing an effective timely decision. The study presents the literature reviews on the application of the data warehousing over the mobile computing. The study reveals that as firms are increasingly doing their businesses online, thus, storing and accessing data over the mobile devices are becoming a necessity.

Business of data warehousing foundations essay

Data Warehousing

This has been one of the driving objectives of our approach — a systematic application of the best interviewing and modeling practices that gives the analyst the knowledge of what they need to do and the comfort that it has been accurately captured.

Not a conventional requirements interview, an RDS is focused on the business and should apply proven and easy to understand communication and modeling techniques.

The biggest cause of changing requirements is not asking the right questions in the beginning. A simple, systematic approach leads the analyst and business users to discover all the information requirements, business rules and functionality, which results in a complete and accurate business specification the first time.

To satisfy the client, we must know what the client wants, and then can show that we have addressed those requirements. Business Requirement Specification — Validation Checklist — To be consistent, the business requirements specification should be accurate, complete and clear.

Business of data warehousing foundations essay

Below is a checklist which represents the attributes of a quality, standard business requirements specification. Are the requirements consistent — not contradicting other requirements? Are any requirements in conflict with given stated assumptions or constraints business environment, technical environment, cost, schedule, and resources?

Do the requirements support the stated business, system and project objectives? Are all activities and operations necessary? Are any identified requirements not required or out of scope? Are all data requirements necessary; are any not required or out of scope? Are the goals and objectives of the system clearly and fully defined?

Have all events and conditions been handled? Have all operations been specified? Are they sufficient to meet the stated system objectives? Have all objects and data in the Activity Specification been defined in the model s?

Have all required definitions and rules for objects and data been defined?

Business of data warehousing foundations essay

Does the specification satisfy the level of detail required by the design team? Have all undefined, unresolved, incomplete specifications been identified for resolution? Are all requirements free of implementation bias not restricted to a specific design alternative? Are all requirements precisely and concisely stated?

Have all operations been stated in terms of their triggering events or conditions, information requirements, processing and outcomes? Is there any ambiguity in any of the statements operations, rules, definitions, etc.

Have all assumptions been clearly stated? Do the deliverables conform to organizational standards, meet organizational process objectives, and follow industry standards? Information Model — Object Specifications: Have all objects been identified?

Have all objects in the Activity Specification been specified? Have all data elements been identified? Has all data in the Activity Specification been specified?

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Have all necessary relationships been defined? Have all data items been accurately attributed to the correct objects Normalization? Have any Superclasses and Subclasses been identified and specified?

Functional Model — Activity Specifications Have all required activities been specified? Have all operations been correctly and precisely defined? Have all outcomes of each operation been specified? Do all operations identify the event s or conditions which trigger them?The Connection between Data Warehousing and Business Intelligence The Data Warehousing Institute defines business intelligence as: Why You Need a Data Warehouse them are good enough to form the foundation for a successful BI solution.

Businesses now have more access to data than ever before, and there is a growing need for business professionals and leaders who can analyze that data for the good of the company. Cedarville University's online master's in business analytics can help you enter this growing, in-demand field.

ZAP Data Hub is a pre-packaged ETL data warehouse software tool that enables the automatic integration of business data, ready for analysis in BI tools. Discover how ZAP Data Hub supports business units, enables improved BI usage and meets your key data challenges head-on.

Business Intelligence / Data Warehousing Consistent reporting standards are a challenge for every organization, often leading decision makers to act upon incomplete or inaccurate information. Oracle Business Intelligence (BI) is the solution that can unlock the value hidden within your data by providing valuable insight into cost-centers and.

A practical framework for business intelligence and planning in midsize companies FeAturing reseArch From gArtner IBM Cognos Express enables midsize companies to start with a solid foundation of consistent, EDW = enterprise data warehouse ETL = extraction, transformation and loading Source: Gartner (October ).

Business Intelligence and Data Warehousing as a Solution The implementation of BI and DWH services in the sales department would ensure a sustained growth and a competitive edge to the company.

Integration of business intelligence would cover the use of information necessary to drive the organization insight.

Top 50 Data Warehouse Interview Questions & Answers