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Most large organizations have realized the significance of speed of decision making
to stay ahead. Having the right information at the right time in turn drives these
decisions. Organizations have deployed business intelligence applications to answer
high-impact questions about their business and exploit new revenue opportunities.
Data Ware-housing services are much in vogue now with companies seeking to gain
a competitive advantage in the market. The following trends emphasize the need for
Business Intelligence & Data Warehousing Services: |
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Increased focus on bottom line
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Growth of unstructured information
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Increased awareness of make or break issues
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Very low latency of decision support
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Customer data integration
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Data mart consolidation
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Growing data warehouse size |
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Services |
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Our ability to evolve and be flexible to a dynamic business environment world is
precisely why we've been successful for so long. Our mission is to help our clients
manage change and transform their businesses through high-quality, cost-effective
business information solutions. VIPSha offers a wide
range of Business Intelligence solutions and services that include:
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Data Warehouse Creation and Management
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Data Modeling
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Data Cleansing & ETL
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Data Maintenance
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Meta Data Management
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OLAP and Analytical Solutions
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Real Time & Enterprise Reports |
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Data Mining |
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ERP Report Enhancement
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In order to carry out these solutions in a timely and efficient manner
VIPSha uses its own data warehousing methodology and processes that have
been built over time.
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We have well-defined methodologies for the efficient execution of Data Warehousing
and Business Intelligence projects. Our methodologies do not serve as implementation
guidelines, but also serve as vehicles for sharing our experience and best practices
through a variety of documents and templates, otherwise known as process assets.
These process assets are available to our consultants to help them execute the projects.
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Our methodologies are full life-cycle models and are a part of VIPSha's dynamic
knowledge environment. They encompass field-tested processes, techniques, roles,
and work products, which are guided by a set of principles and unique organizing
concepts to help perform the planning, analysis, development, operational support,
and management necessary to achieve desired outcomes.
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We have well defined methodologies for the following activities:
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Data Warehousing Implementation Methodology
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DW & BI Tool Selection Methodology
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DW & BI Strategy Road Map Study Methodology
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Data Mining Methodology
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Processes
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Well-defined, field-tested implementation methodologies and processes support the
skill sets of our consultants for all phases of the DW & BI life cycle. We have
separate methodologies for the following:
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DW & BI Solution Implementation
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Data Mining Implementation
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Enterprise Performance Management
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DW & BI Strategy Road Map Assignments
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DW & BI Maintenance
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DW & BI Migration
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DW & BI Tool Selection and Evaluation |
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We also have established processes for all the phases of the DW & BI life cycle.
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Onsite-offshore Implementation Models
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Project Communication
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Change Management
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Roles and Responsibilities
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Contingency Planning
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Disaster Recovery |
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Methodology and Processes
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The DW & BI Group has well-defined and field-tested implementation and strategy
road map methodologies for the efficient execution of projects. The methodologies
are full life cycle implementation models and are part of VIPSha's dynamic knowledge
environment. In addition, there are well-defined project management methodologies
and processes for effective project implementation. |
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The methodologies are iterative in nature, in the sense that inputs at each phase
of the Data Warehousing & Business Intelligence life cycle are used to refine
the implementation process. The methodology is flexible enough to accommodate the
simultaneous implementation of associated solutions like ERP, CRM, etc. or implementations
in isolation.
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Methodology - Salient Features
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Distillation of experience global assignments
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Revolves around a set of blue prints and repeatable techniques
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Overlapping activities to reduce overall implementation time
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Flexible and adaptable
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Feed-back loop for continuous upgrading
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Processes- Salient Features
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Well defined onsite-offshore implementation methodologies and activity schedules
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Well established project communication framework
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Cost and time management templates
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Planned review meetings
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Established change management procedures
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Time tested risk management procedures |
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The methodology divides the Data Warehousing project implementation activities into
four stages viz.
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Requirement Analysis
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Design
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Development
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Deployment
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Our consultants offer domain experience to add value to all our projects. |
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Manufacturing
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Retail
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Healthcare
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Telecom
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Banking & Financial Services
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Insurance
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In addition to technology experts, the DW & BI Group has a team of Project Leaders
and Project Managers who have a wealth of experience in implementing full-life cycle
projects. |
