Business Intelligence Consulting
Droisys Business Intelligence Services takes your IT architecture, processes, technologies and tools and turns this raw data into information to help you make better decisions in your business. With our services, your entire organization becomes more productive and effective by accessing, leveraging and applying market and operational data. The various activities performed as part of BI Consulting services are

• Define key business performance indicators(KPIs)
• Architect the BI solution based on KPIs
• Design & develop data warehouse and data marts
• Implement the BI Solution
• Implement the BI Solution
• Provide implementations, integration, enhancement, customization and production support services on leading BI tools

o Business Object
o Cognos
o Informatica
o Microstrategy
o MS SQL Analysis Server
o Oracle.
o Brio/Hyperion
o Pentaho

Maintain and support the solution post implementation

Data Quality & Enrichment

Data Warehouse design and development
DROISYS team understands that BI initiative can not be successful without an appropriate data warehouse design and this data warehouse should be loaded with clean data from various source systems. As part of DW services, we acquire, cleanse, enhance and transform the data to prepare it for analytics, then implement and integrate the tools required for data acquisition, data warehousing and analysis. Plus, our consultants help coach you on the use of the tools so that you understand and employ the right data for decision-making.

• Data cleansing - using tools and scripting
• Data Transformation/Loading using tools and scripting
• Designing star, snowflake, multidimensional schemas
• Design specific informational views, and querying, reporting, and OLAP capabilities beyond the standard reporting

DW/BI Support & Maintenance Services
As the organization grows, data grows and maintenance of data warehouse becomes more and more tedious and expensive. Droisys Data warehouse Support & Maintenance objective is to provide comprehensive DW-BI value management by using a structured methodology, maximizing customer satisfaction and minimizing maintenance efforts.

• Study of existing Data Warehouses / Data Marts
• Gap Analysis
• Technology / Tools evaluation and recommendation
• Roadmap for re-architecture/ re-engineering
• Refining the Data Warehouse / Data Mart architecture and Data Model
• Introducing data from new source systems to existing Data Warehouses / Data Marts
• Integrating geographically spread data warehouses on the same or diverse platforms into an Enterprise Data Warehouse
• Integration of various data (CRM, Web, ERP, Legacy data) into existing Data Warehouse / Data Mart
• Migration and implementation services
• Performance tuning and upgrades

Droisys Data Quality offering provides capabilities to analyze, cleanse, standardize, and match data from multiple sources. The Standardization Engine and Match Engine provide standardization and matching capabilities, and the data analysis tools, Data Cleanser and Data Profiler, provide data analysis and cleansing features.

Data Cleansing and Profiling Process Overview
The general process of cleansing data begins with analysis, followed by cleansing, followed by additional analysis. By the time you are ready to load your existing data into the master index database, you will want it to be of the best possible quality. To ensure this, you might need to repeat some of the profiling and cleansing steps to be sure that all errant data is caught and fixed. The steps below provide a general overview to the analysis and cleansing process. 

Our Team:

• Makes sure the master index application is configured and generated.
• Extracts the data to either a Data Integrator staging database or a flat file.
• Generates the Data Profiler and Data Cleanser from the master index application.
• Determines the fields to use for the initial analysis.
• Defines the rules for the initial analysis and perform the initial analysis. This results in a set of reports for you to review to determine the cleansing rules to define.
• Defines the rules for the cleansing process and cleanse the data. This is an iterative process and you might find you need to define additional rules once the initial cleansing process is complete.
• Analyzes the blocking and matching fields to determine how to best configure the match process for the master index application.
• After configuring the master index, we load the data into the master index database using the Initial Bulk Match and Load tool.
• About the Data Profiler