Data Management Services
Make Your Data a Strategic Asset
Data management services aim to create a platform for data aggregation and analytics. In individually tailored programs, ScienceSoft covers all data management functions and achieves value-driven data usage.
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ScienceSoft’s Data Management Program
To help you manage corporate data throughout its life cycle, we implement a comprehensive data management program, which includes the following elements:
Data governance
- Drawing up data governance standards and policies to ensure data availability, integration, quality, security, proper usage, etc.
- Evaluating the existing data governance standards and policies.
Data architecture
- Designing data architecture to govern how data is captured, integrated, stored, analyzed, and used.
- Auditing data architecture to align it with the enterprise strategy.
Data integration
Consolidating data from disparate data sources with extract, transform, load (ETL) or extract, load, transform (ELT) processes and data virtualization.
Data quality management
Data cleansing activities, data enrichment and regular data quality assurance.
Data storage
Designing, implementing and supporting storage solutions for datasets of varying scale and format.
Reference and master data management
Enabling data consistency and quality across transactional and business intelligence systems with data profiling, data deduplication and standardization, etc.
Metadata management
Designing and populating metadata repositories with metadata to ensure localization of a data asset, data lineage, etc.
Data warehousing, analytics, and reporting
Designing and implementing the BI and data analytics infrastructure to ensure maximized data value.
Data security
Setting up data security practices and regular BI and DWH risk assessment to prevent unauthorized data access and inappropriate data usage.
Data migration and backup
Moving your data from one system to another for ensured efficiency and security with preliminary data assessment, data migration automation, and data completeness evaluation.
Data Quality Standards We Target
When establishing data management for customers, ScienceSoft guarantees the following data quality characteristics:
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.
Auditability
Data is accessible, and it is possible to trace the introduced changes.
Timeliness
Data represents reality within a reasonable period of time or in accordance with the corporate standards.
Uniqueness
A data record with specific details appears only once in a database, no data duplicates are reported.
Cooperation Models We Offer
Data management software implementation
ScienceSoft helps you launch a full-scale data management program for intelligent decision-making by:
- Defining data management objectives.
- Evaluating the maturity level of your data management.
- Drawing up data governance policies and standards.
- Designing architecture and selecting software for a technical solution(s).
- Developing and stabilizing a tech solution for each data management program element.
- Launching the tech solution(s).
Pricing model: Time & Material, Time & Material with a cap – you receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).
Data Management as a Service (DMaaS)
Data management as a service is a pay-as-you-go cloud service that provides:
- End-to-end cloud data infrastructure configuration, management, and optimization.
- Automated data backup to safeguard your data assets.
- Easy and secure data access.
- Reduced data management infrastructure costs.
Pricing model: Monthly subscription fee – you pay a fixed price based on a variety of factors (data volume, number of data sources, data architecture complexity, data quality requirements, etc.). You can choose to pay the cloud provider’s fees either directly or via ScienceSoft (we work with AWS, Azure, GCP).
The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023
For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.
Tools and Technologies Used for Data Management
About ScienceSoft
- Data analytics and data science services since 1989.
- Data warehousing and BI expertise since 2005.
- Big data services since 2013.
- Dedicated data management team of data management consultants, solution architects, data engineers, etc.
- Expertise in 30+ industries, including manufacturing, retail and wholesale, professional services, healthcare, financial services, transportation and logistics, telecommunications, energy, and others.
- ISO 9001 certified quality management system.
- ISO 27001 certification to assure the security of the customers’ data.
- Regulatory experts on board to ensure compliance with GDPR (for the EU), PDPL (for Saudi Arabia), HIPAA (for the healthcare industry) and other global, local, and industry-specific regulations.
Our Data Management Portfolio
Customer Data Management and Analytics Solution
- Big data management platform for data aggregation from 10+ sources.
- 30-dimension ROLAP cubes for regular and ad hoc reporting to enable user engagement assessment, user behavior trend identification and user behavior forecasting, etc.
Big Data Management and Analytics Solution for IoT Per Trackers
- Big data solution for processing 30,000+ events per second from 1 million devices.
- Real-time location tracking.
- Push notifications on critical events.
- Hourly, weekly or monthly reports on a pet’s presence.
Data Management and Analytics Solution for the Automotive Industry
- ETL-based BI solution with a staging area, DWH database and data marts.
- Multidimensional analytical cubes.
- 40+ customizable reports and dashboards to track KPIs, assign tasks and goals, and share important information.
Airline Market Data Management and Analysis
- Data warehouse deployed in ScienceSoft’s data center.
- 10-dimension OLAP cube to analyze the 10-year history of external data.
- Web-based reporting with self-service capabilities.
Advertising Channel Data Management and Analytics Solution
- Big data warehousing solution for processing 1,000+ raw data types.
- 5-module analytics system to analyze advertising channels in 10+ countries.
- Up to 100 times faster analytical query processing.
Data Management Solution for Customer and Retail Analysis
- Data hub and data warehouse to ingest and store data from 15 data sources.
- An analytical server with 5 OLAP cubes and about 60 dimensions overall.
- 90+ business reports.
