Synaxiom Media Group Inc.

What is Data warehousing?

Data warehouse can be looked upon as corporate memory, a complete repository of all the data gathered during the time it has been in operation. Traditionally this data would be held in numerous databases that are disconnected from each other in multiple locations making the collective information useless or less effective. Functionally a data warehouse will integrate a collection of heterogeneous data sources into one consolidated multidimensional representation to act as a resourceful input to Business Intelligence (reporting) applications.

Organizations make choices and decisions based on the quality of the information at their disposal. Data warehousing can be the key factor is providing management with the right information at the right time to make solid choices, allowing key decision makers to examine business trends and establish solid strategy for the future. Many business intelligence and data warehousing projects fail miserably every year for one main reason; the quality or lack of proper or complete data. The viability of business decisions are directly linked to the quality of information available to the decision makers and the quality of data is contingent on effective approach to data management.

Aside from the complex database architecture involving multiple data sources, designed for efficiency, the global data warehouse can also be characterized by its complex lifecycle. Considering the extensive size of the database itself, the data warehouse is in a permanent state of design with the designer having to maintain a conceptual model of the massive logical schema along with its detailed physical design to maintain its efficiency. Having a massive database is useless unless the information can be retrieved quickly and on request by the end user. During the implementation process it is important to keep in mind the following:

1. Efficiency of data retrieval process
2. Timely population of the data warehouse
3. Contingency actions in place for errors.

Finally a data warehouse has to be extremely scalable to accommodate for future growth and changes in a business throughout its life cycle. The data warehouse must be flexible enough to accommodate:

1. Business rules and methods of an organization changing along its lifecycle
2. New set of information being requested by the end-users
3. New sources of information becoming available to input into the data warehouse

Therefore the architecture must be flexible in order to satisfy these requirements. A data warehouse should seamlessly adapt as an organization evolves through time to efficiently support the decision-making process within the organization that owns the data warehouse.
Furthermore, efficient and effective data management relies heavily on a combination of people, technology and processes. Quality data management and warehousing is an absolute must for any organization looking to improve the ROI and effectively manage data as an asset.
How we can help!

Data is a raw material that needs to be refined and transformed into information. Information will be used by management to make quality decisions. Therefore data is not in itself "information". Organizations are discovering this reality everyday and are finding the task of having to sort through massive amounts of data held within many legacy systems to make informed solid business decisions an almost impossibility. Business Intelligence solutions that make use of properly designed Enterprise Data warehouses directly addresses these issues and challenges, providing management with quality and concise information quickly.

SynAxiom Group has experience in providing clients with appropriate Business Intelligence Solutions for their unique organization and business model. Our solutions give clients the tools they need to effectively extract the required information and leverage the analytical aspect of their data in order to facilitate in the management decision making process.

Why SynAxiom for your Data warehouse/business intelligence projects:

1. Offering clients relevant and practical warehousing solutions
2. Extensive domain experience to drive your project to successful completion
3. Quality pool of domain experts
4. Reduced Total Cost of Ownership

Our experience in executing projects in most aspects of Data Warehousing including:

1. End-to-end Data Warehouse solution
2. Effective and timely Data Migration, including data extraction, transformation, and loading along with database integration
3. Data quality QC/QA assessments

Our team of Business Intelligence personnel consists of experts with a solid understanding of technology and of Business Intelligence Applications along with architecture of data warehousing solutions. Therefore SynAxiom offers clients a perfect blend of domain and technical expertise through complete Business Intelligence and Data warehousing solutions.
SynAxiom addresses the Data warehousing and Business Intelligence needs of clients through end-to-end services from consulting to deployment, testing and support.

SynAxiom development process for Business Intelligence and data warehousing:

1. Initial consulting & discovery
2. Feasibility study and analysis
3. Bottleneck and roadblock discovery
4. Establish milestones and timeline
5. Design Architecture
6. Develop user interfaces
7. Construct business process through interfaces
8. Validate the Business Processes
9. QC/QA and assessment
10. Data migration and integration
11. Testing
12. Deploy the Solution
13. Ramp up and go-live
14. Maintenance and Support

SynAxiom Group's Business Intelligence and Data warehouse strategy through active participation of management and other data warehouse end-users results in real benefits, reduced cost of ownership and higher ROI for the organization with a clear reflection on the bottom line translated into solid dollar figures.

Please contact us for further information and a free consultation on how SynAxiom Group can assist you in your Data warehousing initiative.