ON-PREMISE, CLOUD AND HYBRID SOLUTIONS
Data Warehouse and Business Intelligence
Helping our clients solve their most complex problems
I need help implementing the right BI strategy to enable effective reporting and analytics
I want to optimize our EDW with modern cloud tools for data integration, data warehouse and data visualization
What it takes to successfully implement Data Warehouse and Business Intelligence
Extend Capabilities
Get the most out of your Data Warehouse and Business Intelligence investments.
- Reduce complexities of existing platforms and fully utilize available features and functionalities.
- Implement cloud-native data integration, data warehouse and BI products to meet modern reporting, analytics and visualization requirements.
- Use proven approaches to upgrade to newer platform versions or migrate from one tool to another (such as Bitwise ETL Conversion Automation solution).
End-to-End Solution
Develop a BI strategy that addresses the end-to-end data lifecycle.
- Build a solution that precisely defines, easily integrates and effectively retrieves data for internal or external applications to bring insights through evolved BI.
- Partner with an expert team for installation and configuration, requirement analysis, design and data modeling, development, testing, deployment, user training, support and enhancement.
- Focus on continuous integration / continuous delivery (CI/CD) for faster time-to-market using proven Agile / Scrum methodologies.
Accelerate Implementation
Proven solution accelerators and frameworks can increase productivity and reduce costs.
- Adhere to standard coding guidelines and best practices to provide an efficient solution with optimal performance.
- Leverage automation practices to reduce manual interventions.
- Utilize Bitwise’s Optimal Code Development Framework for data integration that covers run control strategy, change data capture (CDC), data cleansing and data quality, data encryption / decryption strategies, error handling and notifications, role based and data level security, and SCD implementation.
Implement Data Warehouse and Business Intelligence with Bitwise
Optimal data warehouse and business intelligence solutions to transform data into actionable insights and effectively leverage information across the entire organization.
Proven EDW / BI Experts
Expertise in the end-to-end data lifecycle and extensive experience migrating data and analytics to the cloud.
Full-scale Offerings
End-to-end EDW and BI implementations including data integration, data warehouse design, report development and support, analytics and advanced analytics, and visualization.
Accelerated Methodology
We have the expertise, in-house built accelerators, industry partnerships, training and proven approach.
Technology Leadership
We align business requirements, use case, platform identification, tool evaluation and resource requirements needed to implement BI and analytics capabilities.
Bitwise Business Intelligence Strategy Framework
Through our Enterprise Data Management Center of Excellence, we provide cost effective data warehouse and business intelligence solutions, right-fit products, standard coding guidelines and best practices to deliver efficient solutions with optimal performance.
BI Analytics Strategy Framework
Provide the right information the right way to answer any type of business questions
Improve availability, latency, and quality of data while reducing duplication
Define a technology approach that balances cost and fit
- Provide the right information the right way to answer any type of business questions
- Improve availability, latency, and quality of data while reducing duplication
- Define a technology approach that balances cost and fit
Develop skill sets required for technology investments and standards
Establish compliant architecture, data governance and operational processes
Implement chargeback to business for ‘true cost’ visibility and monitoring to demonstrate BI value
- Develop skill sets required for technology investments and standards
- Establish compliant architecture, data governance and operational processes
- Implement chargeback to business for ‘true cost’ visibility and monitoring to demonstrate BI value
Advantages of Bitwise BI Strategy Framework
- Reusable components that accelerate project delivery
- Right-size, high-touch, client-centric relationship management providing superior customer experience
- Provides the information needed in the appropriate format so that time is effectively spent on making accurate and timely business decisions
- Proven solution accelerators and frameworks increase productivity and decrease total cost for enterprise information management implementations and improved time to market
Bitwise Enterprise Data Warehouse Implementation Framework
Through our Enterprise Data Management Center of Excellence, we provide optimal end-to-end data integration, data warehouse and business intelligence implementations.
EDW Framework
BI Strategy & Implementation Roadmap
End-to-End EDW and BI Implementation
EDW Performance Optimization, Maintenance and Support
- BI Strategy & Implementation Roadmap
- End-to-End EDW and BI Implementation
- EDW Performance Optimization, Maintenance and Support
Migration and Upgrade Services
Data Quality Framework
Self-Service BI and Real-Time Implementation
- Migration and Upgrade Services
- Data Quality Framework
- Self-Service BI and Real-Time Implementation
Advantages of Bitwise EDW Implementation Framework
- In-depth expertise of all major ETL / ELT tools including Ab Initio, Talend, IBM DataStage, Informatica, DM Express, Microsoft SSIS, Oracle ODI, AWS Glue, Azure Data Factory
- Hands-on experience with major reporting and analytics tools including Cognos, SSRS and SSAS, OBIEE, Tableau, Sisense, MicroStrategy, WebFocus, Microsoft BI and PowerBI, Business Objects, QlikView and QlikSense, Looker
- Support and integration with major databases and appliances including SQL Server, Teradata, Oracle, Netezza, Hadoop
- Best-fit solutions for major cloud platforms including Snowflake, AWS, Azure and Google Cloud
Most Common Use Cases
Enterprise Data Reporting
Establish an enterprise data hub to enable Self-Service, In-Memory, Embedded, Real-Time and Advanced Analytics capabilities for business users.
Modernization of Healthcare Analytics
Create a centralized view of healthcare data that provides integrated data for record search, health case apps, advanced analytics and reporting for ‘patient 360’ or clinical analysis.
