Automated Data Warehousing Case Studies
Data Warehouse Re-Architecture & MSBI Accelerait Implementation
Heterogenous Data Warehouse implementation diminishes Data intent leading to Potential Reputational Damage, Regulatory Compliance Exposure, and Customer Loss.
The legacy estate compromised two competitive Data Warehouses, impacting data quality and spiraling maintenance costs. The complex data integration patterns resulted in conflicting and contradictory information impacting reliable decision making, business strategy, and data confidence.
Elait designed a new Data Warehouse architecture using MSBI, which helped present data consistently and accurately, resulting in better decision making. This improved ROI and reduced potential loss of revenue.
Complex and heterogenous Data Warehouse-based architecture became difficult & error-prone to manage, causing data duplication and overly complex data integration patterns leading to inconsistent information. This impacted not only reliable decision making but also business strategy and data confidence.
Lack of best practices in Data Warehouse triggered major challenges related to data quality, availability & disaster recovery. This further impacted corporate assurance and created business continuity risks. Maintenance efforts increased the total cost of ownership.
Unavailability of fast, reliable data impacted ROI from marketing campaigns & raised the risk of regulatory non-compliance with attendant financial penalties. The customer wanted a solution that will give easy access to reliable, consistent information that will aid decision-making, eliminating the risk of regulatory non-compliance, and have a low TCO.
Elait reviewed the legacy Data Warehouses, created a contemporary Data Warehouse architecture by providing technical standards and best practices for the new Data Warehouse, managing the client team, and built Data Warehouse Automation on the MSBI platform leveraging proprietary framework MSBI Accelerait.
Elait ensured expedited delivery to the new architecture using automation and agile methodology. Ensured ease of maintenance by ensuring consistent patterns, error handling, monitoring & alerts.
Properly defined architecture resulted in performance improvements, and following industry best practices ensured Data quality, Data governance improvements.
New Data Warehouse architecture led to creating a single version of the truth, allowing improved decision making and strategising business. Reduced the potential for reputational damage, regulatory compliance exposure (with the potential for fines and threat to license), and customer loss.
On-time data delivery to applications allowed campaigns to be run on time with improved ROI, minimising potential revenue loss. Reduced incident support effort for CRM and Data Management teams allowed them to focus on their core roles. Efficient use of infrastructure further reduced TCO.