DataTerrain automation tool transports UI components like headers, footers, and page layouts, interactive UI elements like drop-down menus or sliders, and programmatic elements like embedded scripts or programs or formulas, conditional logic, APIs, data sources scheduling and delivery components, which can significantly enhance efficiency, accuracy, and consistency from any BI product to any BI product.
Historically, as organizations grew, many products were used to perform Data Analytics and Business Intelligence reporting over years or decades.
Legacy products refer to products that have been in the market for an extended period and have often been replaced or succeeded by newer versions or alternatives. Some customers may still use these products, but they are no longer actively developed, updated, or supported by the manufacturer or vendor.
eliminates business risks
Our customers have switched to many new business Intelligence reporting tools. Our team has worked alongside the customer teams to identify valuable reports and dashboards for customers to retain and performed automated migration to new Business Intelligence tools.
Many corporations of all sizes, Government departments, Non-profit organizations, Universities at National and regional levels, Medical Institutions, etc., constantly review the need for Data Analytics and Business Intelligence reporting and identify improvement areas.
The automation tool rapidly performs the lift and shift from legacy to newer systems. It delivers the best cost/benefit ratio.
Automate lift and shift
Our solutions are continuously updated to meet our customers' evolving requirements and product trends.
Automation tools are a critical component of our service, and we use them to rapidly migrate all reports and dashboards into new systems.
Wondering what to migrate? Our rationalization tool analyzes duplications, logic, usability, providing a curated startup list for migration.
Automated test systems compare outputs in many formats, and the look and feel of the reports and business logic are used to make sure accuracy and speed are guaranteed
Our automation deployment tool helps deploy reports and dashboards in various customer systems as needed. It delivers consistency and accuracy.
The metadata layer in Business Intelligence tools bridges complex, raw data sources and user-friendly interfaces, making data more accessible, understandable, and governed within the Business Intelligence environment. It enhances BI systems' overall usability and value by simplifying data access and ensuring data quality and security.
The Oracle Business Intelligence metadata layer is called the RPD file (Repository Database), and the SAP metadata layer is called the Universe file. All Popular BI tools include metadata layers or semantic layers. It acts as an intermediary or abstraction layer between the raw data sources and the end-user interface, such as dashboards, reports, and queries.
Transporting the metadata layer from legacy platforms to newer systems poses various challenges. Our automation tools deliver rapid transitions from legacy environments to newer systems. We have delivered results for 700+ clients(36,000 objects) based on multi-tenant metadata files with unparalleled speed and accuracy.connect with dataterrain
We provide End-to-end project management from its planning phase to its completion and closure. This approach ensures that every aspect of the project, from its inception to its final delivery, is effectively managed to meet its objectives and achieve success.
streamlined project management
The project's purpose, scope, objectives, and stakeholders are identified and defined. The initial project plan is created, and approval or funding is obtained.
Detailed planning includes defining tasks, creating schedules, allocating resources, setting budgets, and identifying risks and mitigation strategies.
The project plan is put into action. Tasks are executed, teams are managed, and resources are allocated to accomplish project goals.
Progress and performance are continuously tracked against the project plan. Adjustments are made as needed to ensure the project stays on course. This phase is essential for quality control, issue management, and risk monitoring.
Effective communication with stakeholders is maintained throughout the project to ensure that expectations are met and any changes are well understood.
Risks are identified, assessed, and managed throughout the project to mitigate potential issues that could impact success.
Changes in project scope, objectives, or requirements are carefully evaluated, and their impact on the project is managed to avoid scope creep.
Resources, including personnel, materials, and equipment, are efficiently allocated and managed to meet project demands.
Quality standards are defined and monitored to ensure the project's deliverables meet the required quality criteria.
The project is formally closed, and all deliverables are reviewed and accepted. Documentation and lessons learned are collected, and final reports are generated.
A post-project review is conducted to assess the project's success, identify areas for improvement, and capture lessons learned for future projects.
Comprehensive documentation is maintained throughout the project, including project plans, reports, and records of decisions and changes.
Continuous engagement with stakeholders ensures that their needs, expectations, and feedback are considered throughout the project lifecycle.
After project completion, the organization analyzes the project's performance and outcomes to identify ways to improve future project management processes.
Effective, comprehensive oversight and project management control ensures that projects are completed on time, within budget, and with the desired quality while meeting stakeholder expectations. Our experienced team is set to deliver leadership, communication, and organizational skills to coordinate various project elements and stakeholders effectively.
Steadfast commitment to completion
Explore how our Business Intelligence Reports Transition Automation Service optimized data Analytics, driving efficiency and delivering measurable results.View Detailed Case Study