we help making

Data-driven organization

OUR CAPABILITIES

OUR APPROACH

Data governance

Define & operationalize your corporate data governance strategy
Identify the right operating model for your culture and organization
Data governance roadmap implementation
Creation of a data governance charter and governance policies, processes, standards and metrics
Ownership and accountability for data definitions, entities and domains
Communicate Data Literacy culture

data quality IMPROVEMENT

Develop & implement a pragmatic data quality strategy
Investigate data qualiy root causes, business impact and recommend remediaton actions
Integrate your data quality and data governance programs
Define roles, responsibilities, data lifecycle policies, processes and standards for managing data quality
Implement Data Profiling, Data Cleansing & Data Quality Monitoring technologies

Master data Management

Create business, technical and architectural requirements
Scope a realistic MDM implementation plan and effort
Prioritize data domains based on business value
Implement market-leading MDM technologies
Identify and implement value-added technologies such as data quality and metadata management

big data & data science

Define Big Data Strategy & Business Needs
Choose & Acquire Data Sources
Ingest Data Sources to Data Lake
Develop Hypotheses & Methods
Prepare & Integrate Data For Analysis
Exploratory Data Analysis
Training Data using Predictive Models
Deploy Inference
Monitor with Data Visualization

metadata management

Identify the scope and prioritization of metadata that provides maximum business value.
Improve the traceability, lineage and understanding of data assets by mapping your information supply chain.
Establish consistency and standardization of data definitions, classifications and taxonomies.
Mitigate risk and increase regulatory compliance by providing a holistic picture of enterprise-wide data.
Increase productivity, efficiency and transparency of data usage by implementing processes to create, share and sustain metadata content.

business intelligence

Understand KPI Requirements
Select Datawarehouse & Dashboard technologies
Design the Data Warehouse & Data Marts Dimensional Modelling
Populate the Data Warehouse
Implement the Integrated Dashboard Portfolio
Maintain Data Products

OUR WORKS

Build Upstream Data Management Strategy & Blueprint for Pertamina Subholding Upstream across Regions. Establish Data Governance Office & Data Standard to achieve Data Quality Improvement. Drafting Data Management Policy & Procedures. Implement Metadata Management & Master Data Management based on PPDM (Profesional Petroleum Data Management)

Datawarehouse implementation of Integrated Dashboard for Executives in Telkom Consumer Division. Provide an end-to-end view of the customer base that would allow for KPI insightful analysis across Assurance, Fulfilment, Deployment, Inventory, Billing, TVV, and CX business areas.

Workshop & Measuring Data Management Maturity Model for Data Governance & Data Quality Process Area in Inspektorat Jenderal, Direktorat Jenderal Bea Cukai, Direktorat Jenderal Perimbangan Keuangan, Direktorat Jenderal Pembendaharaan.

Data Quality Management implementation. Establish data consistency and standardization of data quality specifications based on data profiling analysis & regulatory compliances.

Partnership in providing Big Cognitive Platform, Artificial Intelligence as a Service (AIaaS) leveraging Deep Learning technology. Deliver Text Detection & Text Recognition from Images. Natural Language Processing for Part-of-Speech Tagging, Name Entity Recognition & Sentiment Analysis in Bahasa Indonesia.

Data Governance Worskhop & finding Data Quality issues using Data Profiling analysis for Asset Data Domain.

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