DATA INTERVENTIONS

Making life easier

Make Sense

There is a need to go beyond the customary approaches to data.
We serve as strategic partner to our clients by providing proven Frameworks and Delivery Methodologies that leverage your data assets better, going beyond the customary approaches to data. We help provide real-time metrics that give you trusted insights boosting competitiveness.

Data Management

The effective management of data within any organization has grown in importance in recent years. Organizations are subject to an increasing number of applications, compliance regulations, exponential growth in volumes & formats and the sheer amount of data being generated by every user from every transaction in real-time.

Our approach to Data Management helps you with:

  • Acquisition - Identify, connect and acquire data from ANY source (structured, unstructured, industrial)
  • Integration - Integrate, cleanse and transform from multiple sources and formats
  • Storage - Build data mart/warehouse/lakes for Data Analytics and Visualisation
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Implementing best practices

Inteliment’s Dimension Data Innovation Model encapsulates best practices across the Data Management value chain, as follows:

Plan

Plan

Data Strategy: Assessment, Technology Roadmap, Tool Evaluation, Use Case Definition, Capacity Planning

Align

Align

Data Management: Architecture Blueprint, Platform Rationalization, Metadata Management and Data Quality & Governance

Run

Run

Agile Data Delivery: Data Integration, Testing Services, Platform Lifecycle Services and Migration/Upgrade

Innovate

Innovate

Data Provision: Information Delivery, Performance Engineering and Knowledge Management

Data Management: Technology Expertise

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  • Hadoop, Cloudera & Hortonworks
  • Python, Spark, Elastic Search
  • Hive, Pig, Impala, MAPR, Kafka
  • Azure Data Factory& Lake
  • AWS S3, Redshift, RDS
  • SAP Data Services, HANA, BW, IQ
  • Informatica Big Data, Intelligent Data & Cloud Services
  • Pentaho Data Integrator
  • Google BigQuery
  • Teradata
  • Tableau Prep
  • SAS DI
  • Oracle ODI, Exadata
  • Talend, Jaspersoft ETL
  • Vertica, Greenplum
  • Mongodb, Casandra

Data Analytics

Data Analytics can add value to any business that wants to use its data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, Data Analytics is valuable to any company in any industry.

Our approach to Data Analytics helps you with:

  • Modelling - Train data samples based on a model
  • Processes - Run instances to process data and improve
  • Discovery - Patterns, forecasts, dependencies through scientific techniques
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Implementing best practices

Inteliment’s Dimension Data Innovation Model encapsulates best practices across the Data Analytics value chain, as follows:

Plan

Plan

Strategy: Data Sample Review, Use Case Definition and Building the Hypothesis

Align

Align

Model Definition: Statistical Model, Algorithms- ML, NLP, Rapid Prototyping, Training Dataset

Run

Run

Process Execution: Model Deployment, Algorithms- ML, NLP and Result Generation

Innovate

Innovate

Information Assets: Information Metamorphosis, Insight Delivery and Knowledge Management

Data Analytics: Technology Expertise

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  • Rubiscape
  • R, Python
  • Azure ML
  • Tenser Flow
  • SAS
  • Spark ML
  • Elastic Search
  • JAVA/Scala
  • IBM Watson
  • Mahout
  • H2O
  • Rapid Miner, Dataiku

Data Visualisation

Organizations today need insights into markets, customers, and their own internal processes to stay ahead of the competition and to deliver sustainable business performance. 

Our approach to Data Visualisation helps you with:

  • Using historical data to draw insights
  • Responding in real-time to current needs
  • Using predictive analytics to stay ahead
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Implementing best practices

Inteliment’s Dimension Data Innovation Model encapsulates best practices across the Data Visualization value chain, as follows:

Plan

Plan

Analytics Strategy: Analytics Assessment, Technology Roadmap, Tool Evaluation, Architecture Blueprint, Business Case Modeling and Capacity Planning

Align

Align

Solution Architecture: Analytics on Cloud, Digital Analytics, Rapid Prototyping, Cross-functional Analytics and Product Incubation

Run

Run

Analytics Factory: Competency Centre, Analytics Operations & Services, Post Go-Live Support, Testing Services and Migration/Upgrade

Innovate

Innovate

Analytics as a Service: Insight Delivery, Dashboard Management, Predictive Analytics, Knowledge Management and Training Services

Data Visualisation value: Engineering services

solution engineering

Solution Engineering

Platform Engineering, Dashboards & Scorecards, Self Service BI Frameworks, OLAP Cubes Management, Application Integration and Cross-Platform Reporting.

solution support

Solution Support

Analytics Center of Excellence, Pre-implementation Assessment, Selection of Data Analytics Tools, Migration and Version upgrades, Performance Optimization and User Training.

solution extension

Solution Extension

Visualization Wireframes, Mobile Analytics, Cloud-based BI applications, Open Source Frameworks, Embedded Analytics and Information Collaboration Tools.

Tools and Technology Expertise

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  • Rubics Analytics
  • SAP Business Objects, Leonardo
  • Microsoft PowerBI
  • Tableau
  • QlikView, QlikSense
  • Pentaho, BIRT, Birst, Dundas, Plotly
  • D3.js, Fusion, Sencha, HighCharts
  • Jaspersoft, Superset, Looker
  • SAS BI, SAS VA
  • Spotfire
  • Yellowfin
  • MicroStrategy
  • OBIEE
  • IBM Cognos