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Business Intelligence & Data Management Solutions
US Tech Solutions possesses extensive capabilities to deploy innovative, scalable and sustainable BI and Data Warehousing solutions that help improve our clients' business results.
Business Intelligence has reached a new level of importance for decision makers. Capturing data from customers, partners, employees and operations has always been a part of running a business, but using this information proactively has become essential. Gartner has identified Business Intelligence as one of their “Top 10 Strategic Technologies” for 2009. BI delivers increased value to the business from existing systems and protects investments. It also eliminates compatibility issues between systems and increases IT efficiency.
The data warehouse is the cornerstone of any business intelligence (BI) strategy and architecture. Data warehousing is a foundational practice that supports enterprise reporting, business intelligence and decision support. Data warehouses can have varying levels of sophistication and different philosophical approaches, but typically they involve extracting and transforming data from operational/transactional databases and loading it to a repository for shared use and analysis.
Our Methodology and Frameworks:
- US Tech Solutions possesses extensive capabilities to deploy innovative, scalable and sustainable BI and Data Warehousing solutions that help improve our clients' business results.
- Our business intelligence teams have deep experience in information engineering along with US Tech’s heritage of proven methodologies. And our access to best-in-breed tools and strong strategic and collaborative partnerships with leading global organizations make us the best in the business. We offer specific industry solutions addressing key business process areas. Our ability to offer innovative industry and technology solutions is derived from deep understanding of our client’s domain and business needs. Our Global delivery model with proven process models and frameworks ensure reduced costs and high ROI.
- Our experts with deep understanding of the Business Intelligence Applications and technology architecture of Data Warehousing solutions help us provide you with a unique blend of technical and business domain expertise through successful Business Intelligence and Data Warehousing solutions. We address the Business Intelligence and Data Warehousing needs of a far-spread customer base, providing development support and customized consultancy on Business Intelligence and Data Warehousing, with 24x7 customer support.
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Service Offerings:
- BI Maturity Assessment :: The assessment determines what is the business need for BI, the ability of business processes and operational systems to support BI, the level of progress of current BI initiatives, future BI plans, and outlines the appropriate steps needed to make BI work.
- BI & DW Strategy Roadmap:: We help our clients in their Enterprise Business Intelligence and Data Warehousing Roadmap. Our team of BI/DW Strategy consultants understands the clients current and future requirements and designs solutions based on those needs.
- BI & DW Architecture Consulting:: We provide the complete range of DW/BI services starting from DW/BI strategy consulting, integration, data management, reporting and analysis to maintenance and enhancement. We have been engaged in end- to-end DW/BI assignments with our customers in different verticals involving diverse technologies.
- Enterprise Performance Management:: Over a period of years we have developed in-house expertise in understanding your EPM needs and devising solutions based on those needs.
- Business activity Monitoring (BAM):: The Business Activity Monitor is an application for monitoring messages sources and performing actions whenever specific conditions are met. The user associates a number of triggers and actions with each message source. If all the triggers evaluate to true for a particular message, all the associated actions are performed for that message. The triggers may depend on constant values, message properties, or metrics which are computed over the stream of messages.
- Integrated Business Analytics:: Business Analytics is emerging to be a strategic area of investment within the government organization as it allows them to transform citizen data in to meaningful intelligence to manage citizen expectation and thereby strengthen service delivery to them. It helps unearth areas of tax evasion, thereby increase revenue. The main drivers that ensure this are: Tighter Strategic and Tactical planning; Faster, agile and event driven decision making; Reporting and Compliance; Analytics that focus on "how well" rather than "how much" and Improved performance and effectiveness impact.
- Data Quality Management:: Data quality management (DQM) designates all quality-oriented organizational, methodical, conceptual and technical measures, in order to steer and administer data in the sense of net assets for enterprises. Over the life cycle of data away a continuous quality definition, quality measurement, quality analysis is accomplished. Data quality management can be differentiated in two fundamental tasks: first a firm specific definition is to be made of data quality. The moreover one is again firm specific, to examine which criteria and Metriken to the measurement and improvement of data quality are to be set.
- Meta-Data Management:: Many enterprises have independent systems for different areas of their business that manage the same master data. Each of these systems, though managing the same master data will likely only store the elements that are needed for its own operation, resulting in no common definition of the master data elements. In today’s competitive environment, collecting and managing master data is one of the most significant necessities for any enterprise to ensure quick, effective and efficient responses to any critical business situation.
- Master Data Management:: US Tech’s Master Data Management will allow you to gain a unified, complete, consistent & standardized view of your data to drive critical business decisions. It also helps gain control of your data, reduce information errors, & eliminate duplicate data—all of which will let you meet growth, revenue-generation & cost-reduction goals.
- Data Migration:: How can organizations minimize the business impacts of data migration—down¬time, data loss and increased cost? The best way is to employ a consistent, reliable and repeatable methodology for migrations that incorporates planning, technol¬ogy implementation and validation We have developed our data migration methodology which helps our clients in translation of data from one format to another format or from one storage device to another storage device.
- Data Modeling:: Data modeling is the act of exploring data-oriented structures. Like other modeling artifacts data models can be used for a variety of purposes, from high-level conceptual models to physical data models. From the point of view of an object-oriented developer data modeling is conceptually similar to class modeling. With data modeling you identify entity types whereas with class modeling you identify classes. Data attributes are assigned to entity types just as you would assign attributes and operations to classes. There are associations between entities, similar to the associations between classes – relationships, inheritance, composition, and aggregation are all applicable concepts in data modeling.
- Data Mart Development:: Data Marts are subsets of your company's data that are designed to focus on specific business areas. Based on customer’s business and technical requirements, we design and develop secure data marts for faster access and lower cost benefits.
- Data Integration:: Data Integration refers to the organization’s inventory of data and information assets as well as the tools, strategies and philosophies by which fragmented data assets are aligned to support business goals. Data integration can pursue several strategies, including single, federated or virtual compilations of data for a given business purpose. Increasingly, businesses are striving to deliver consistent data views through master data management (MDM), which is meant to deliver a near real-time, hub-based and synchronized presentation of information to any seat or point of view in the organization.
- Information delivery:: An enterprise-grade business information delivery solution distributes all enterprise content from these systems. Massive reports need to be split and routed on an intelligent basis according to the needs of those responsible for the output. Distribution of output to printers, document management systems or simply to users in their browsers or email inboxes must be powerful and flexible. Retention requirements must be addressed, as must support for sophisticated enterprise hierarchical storage management systems
- Maintenance, Operation and Support:: We engage with our clients from an end-to-end data warehousing and business intelligence implementations. We provide complete support throughout the various stages of BI/DW lifecycle.
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Benefits:
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