Data Sherpa is a suite of software, services and accelerators designed to accelerate data management for companies involved in transformations in the asset intensive industry.
Bad data complicates project delivery, and makes a poor foundation for your digital transformation. Your data challenges often transcend multiple functional areas, systems of record as well as many prior and on-going projects.
Our experts can help you simplify your data with Data Sherpa.
Data Sherpa Helps You
Identify incomplete data
Utilize Data Sherpa to standardize and complete records
Build a single source of truth for all your data across all data silos before your migration
ARCHIVE & CLEANSE
Identify and correct incorrect or missing data
Securely store irrelevant data - but leave them easy to access
Use our templates and migration accelerators to simplify migrations to your new systems
MANAGE & GOVERN
Build a culture of clean data
Assign and empower data owners and create a robust governance strategy
Data Sherpa enables reliable data for IoT Analytics and Industry Dashboards
Realize the benefits of technologies such as AI, IoT and Big Data
Data Sherpa Archiving Case Study
< 1 TB
This Large Electric Utility observed rapidly expanding SAP Database footprint over the past year as a result of may transformations.
In situations like these, SAP Archiving is able to help improve system performance across the enterprise by:
Reducing system response time
Reducing system backup time
Slowing the growth of the landscape
FOR CONSULTING PARTNERS
Focus on delivering a success project - while we handle the data.
We offer early warning and insight at every stage of the project, with industry focused technology expertise
FOR INDUSTRY PARTNERS
Build a strong foundation for your transformation - and start it on the right note.
Build measurable value before, during and after your transformation.
DATA SHERPA DELIVERS
Project and data quality metrics
Provide a clear view to the business as to the state of their data and of the project itself
Sharp focus on data-driven techniques - analysis, assessment, mapping, and validation
For on-going Data Governance after go-live
Resource planning supported by data management expertise in the areas of governance, integration, and quality
To facilitate data governance and coordinate complex external and internal dependencies
Infrastructure planning & implementation-sized to fit the specific needs of your transformation
With SAP and OpenText software solutions
Early involvement of business units
Across the enterprise
STRATEGY & ROADMAP
Data quality assessments: Data profiling and Data quality assessment reports
Current and future state assessments
Data governance strategy
Tool evaluation & product selection
Detail requirement definition
Functional design and architecture definition
Data extraction, cleansing and transformation
Shared Services: shared support services for data management
Data quality as a service: keep your data clean on an ongoing basis through periodic assessment, exception reporting and regular data fixes