We help organizations make better decisions with data. We offer a broad range of analytics and data consulting services, from planning and architecting to implementation and support. Our team of experienced consultants has a diverse background and expertise in numerous technology areas, enabling us to deliver solutions that are both forward-thinking and rooted in experience.
Data Strategy: We help organizations develop and implement data strategies that align with their business goals. We work with you to identify your data needs, assess your current data landscape, and develop a plan to improve your data management.
Data Warehouse/Data Lake Strategy & Road Map: We help organizations design and implement data warehouses and data lakes. We work with you to define your data needs, select the right tools and technologies, and build a data warehouse or data lake that meets your specific requirements.
Data Classification: We help organizations classify their data based on its sensitivity and importance. We work with you to develop a data classification scheme that meets your specific needs and to implement the scheme across your organization.
Data Warehouse Consulting
We help organizations develop and implement data warehouse solutions that meet their business needs. We have a team of experienced consultants who can help you with all aspects of your data warehouse project, from planning and design to implementation and support.
Data Warehouse Development
We build data warehouses that are scalable, reliable, and secure. We use the latest technologies and best practices to ensure that your data warehouse meets your needs and exceeds your expectations.
Data Warehouse Support
We provide ongoing support for your data warehouse to ensure that it is always up and running. We can help you with troubleshooting, performance tuning, and security updates.
Assessment of Current BI Environments
We assess your current BI environment to identify strengths, weaknesses, opportunities, and threats. We then develop a plan to address any weaknesses and capitalize on any opportunities.
Business Intelligence Strategy & Road Map
We develop a business intelligence strategy and road map that aligns with your overall business goals. We identify the BI solutions that will help you achieve your goals and develop a plan to implement those solutions.
Business Intelligence Solution Modelling
We model your BI solution to ensure that it meets your specific needs. We consider your business requirements, data sources, and BI tools. We then develop a solution that is scalable, reliable, and secure.
Our BI support services free your BI team to focus on more strategic initiatives. We can help you with:
Troubleshooting: We can help you identify and resolve issues with your BI solution.
Performance tuning: We can help you improve the performance of your BI solution.
Security updates: We can help you keep your BI solution up to date with the latest security patches.
Training: We can provide training to your BI team on how to use your BI solution.
Data Governance Services
We provide comprehensive Data Governance Services for Superior Data Management.
Data Governance Program Management
Crafting a data governance program that's ready for adoption.
Metadata Management
Bringing meaning and clarity to your data assets. We select and implement data governance tools, including data glossaries, dictionaries, catalogs, and lineage, ensuring that your data makes sense and adds value.
Master Data Management
Centralizing and securing your most critical data. We establish processes, standards, and policies to govern data across its entire lifecycle, ensuring trustworthiness and reliability.
Data Quality Program
Elevating your data quality to drive strategic decisions.
Data Migration:
We help organizations migrate data from one system to another. We work with you to assess your current data landscape, identify the data that needs to be migrated, and develop a plan to migrate the data in a secure and efficient manner.
Data Landscape Assessment: A thorough analysis of your current data setup to identify the data that necessitates migration.
Data Selection: Careful curation of the data to be migrated, ensuring precision and relevance.
Migration Strategy: Development of a meticulous plan, designed to be secure and efficient.
Data Transfer: The actual migration process, carried out with precision and attention to detail.
Validation and Testing: Ensuring that the migrated data is accurate and functional in its new environment.
Data Modeling Services
We offer a comprehensive suite of data modeling services designed to meet your unique needs:
Conceptual Data Modeling: We begin by understanding your business objectives, data sources, and user requirements. With this foundation, we create a high-level conceptual data model that defines the entities, their attributes, and the relationships between them.
Logical Data Modeling: Building upon the conceptual model, we develop a logical data model that outlines the database structure without specific technical details. This model ensures data consistency and lays the groundwork for database design.
Physical Data Modeling: Converting the logical model into a physical database design, we consider factors such as data storage, indexing, and performance optimization. This step prepares your data for implementation in a specific database system.
Testing Services
We offer efficient testing solutions for optimal performance.
Data Validation Testing: We ensure that the data in your warehouse is accurate, consistent, and complete, identifying and rectifying any anomalies.
Performance Testing: To guarantee that your data warehouse operates efficiently, we conduct load and stress testing to optimize performance under various conditions.
ETL Testing: Validate the Extract, Transform, Load (ETL) processes to ensure that data is extracted correctly, transformed accurately, and loaded without errors.
Regression Testing: Continuously monitor changes to your data warehouse to detect unintended impacts on existing data and processes.
Data Security Testing: We assess the security measures in place to safeguard your data, identifying vulnerabilities and recommending enhancements.
Data Quality Testing: Confirm the quality and consistency of data by validating it against predefined standards and expectations.
Scalability Testing: Assess the scalability of your data warehouse to ensure it can handle growing data volumes and user demands.