Data Management & BI
Unlock the power of your data
Data Management and Business Intelligence Services
Manage all sources of organizational data into a central data warehouse system and turn data into operational and management decision points using our experienced consulting services.
PlektonLabs' Data Management & BI
Find meaning in your data with our expertise
We offer end to end data warehouse and business intelligence reporting solutions for small to large organizations. We help businesses building a data warehouse from various raw data sources. Our expert knowledge on data model design and implementation along with data governance and master data management will ensure a sustainable and secured data warehouse system for any reporting needs.
Our extra ordinary experiences on building dashboards and reports using some of the top business intelligence platforms such as Power BI, Tableau, OBIEE, Business Object etc. will help you establish real-time interactive decision makers.
Make Decisions in real-time
A sustainable data strategy in place enables stakeholders to make critical real-time business decisions.
Future proof your organization
Businesses have to be prepared for the era run by data and to do that organizations need data intelligence to run the innovation.
Secure your data
Data theft is a rising concern as the time progresses and with correct modeling you can be on top of that.
Data warehouse development and management
Organize your data to make flexible decisions
- Build different layers of data warehouse ( transactional/staging, dimensional, data mart/reporting layer) based on your organizational needs
- Design data warehouse system using various models such as star schema model, snow flake model, to down/bottom up approach etc.
- Performance tuning and monitoring of data warehouse systems
- Optimize database storage and management system by efficient data warehouse design
- Failover and recovery model design and implementation for data warehouse
ETL (Extraction, Transform and Load) design and implementation
Extract data to get accurate real-time reports and metrics
- Extract data from any sources (flat file, API, cloud source, other DBMS etc.)
- Expert knowledge on MS BI stack (SSIS, SSAS, Azure Data Factory, and Data Brick) to help you building ETL systems. Other available technologies such as Informatica, ODI (Oracle Data Integrator) etc. can also be used.
- Real-time monitoring and alerting for ETL processes
- Reusable and robust ETL design framework to accommodate broader business requirement and ensure sustainable system
- Efficient data flow design to handle and synchronize OLTP, OLAP and other systems
Cube, dashboard and report development
Make key decisions using interactive dashboards, cube, and reports
- Dashboard and report design using any reporting platform (MS Power BI, SSRS, Tableau, OBIEE, Business Object etc.)
- Interactive real-time dashboard and KPI with data monitor and alerting
- Cube design to help advanced users build their own customized reports on the go
- Data security implementation on dashboards and reports
- Efficient drill through and drill down report design to help business getting exposed to insights as needed
Data Governance
Deliver accurate data, neutralize external threats, and uphold industry standards
- Engage with business users from different levels to understand data points and maintenance policies
- Build a framework to capture every single data flow and apply policies and procedures around that
- Establish an organization wide data catalog to help business users getting quality and trustworthy data sources for their reporting needs
- Build a role-based security model to implement core data governance objectives
- Audit and compliance-based model design out of data warehouse systems
Master data management:
Streamline sustainable data warehouse systems and eliminate redundancies
- Engage with business users to identify every data element your organization is handling and help you building a model diagram for that
- Apply best practices to implement storage, maintain and design master data model for each dimensional data source
- Leverage master data model to efficiently design data warehouse and ETL processes
- Identify stakeholders and establish a framework for master data governance
- Help building different dimensional model to retain historical changes of master data sources
Data Integration
Ensure seamless communication between different data feeds
- Assess various systems and identify key data elements for successful integration
- Design and implement different integration methods such as ETL, API, and data push/pull etc.
- Leverage master data management and data warehouse to serve data integration tasks
