Data management services are aimed at ingesting, storing, organizing and using data, which was created and collected by a company, securely and efficiently. Hephzibah helps companies establish a well-tuned data management process to get reliable reporting based on high-quality data.
Data Management Services
Data Management Solutions
Efficient data management is the need of the hour for almost all global businesses
In the course of regular business, organizations collect a large amount of product, market, customer, social, and transaction data. In the absence of requisite tools and expertise, maintaining, securing, and driving insights from the accumulated data is often a challenge.
Hephzibah Integrated Technologies Limited, a leading data management company with a proven track record, offers practical solutions to organizations to mine and further utilize their business data for effective decision making.
Our team assists several companies in collecting, cleaning, standardizing, validating, integrating, analyzing, and transforming data into actionable information.
Data Characteristics We Guarantee with our Services
Consistency
No data contradictions within one data store and across different data stores.
Accuracy
The information your data contains is reliable and error-free.
Completeness
Data is sufficient for answering your business questions.
Uniqueness
A data record with specific details appears only once in a database, no data duplicates are reported.
Orderliness
Data has the required format and structure.
Auditability
Data is accessible and it is possible to trace the introduced changes.
The Scope of Our Data Management Services
Data Governance
- Data governance strategy design for data availability, quality and security.
- Policies for user roles, rights, responsibilities etc., to ensure data consistency and proper usage.
Data Quality Management
- Data quality assurance.
- Data cleansing activities to eliminate duplicated, incomplete, erroneous or obsolete data.
- Recommendations on and integration of additional data sources.
Data Integration
- Extract, transform, load (ETL) , load, transform (ELT) setup and testing.
- ETL/ELT automation.
- Data virtualization.
Data Architecture Audit
- Aligning enterprise strategy with data architecture, data architecture audit.
- Data warehouse and BI health check. Security and performance monitoring and assessment.
Data Security
- Data risk assessment.
- Security policies and standards creation and implementation.
- Technology stack selection to improve data security.
Data Migration
- Sensitive and critical data assessment.
- Data migration plan.
- Data migration automation.
- Data completeness testing.