Data Innovation Services

Any Data is Possible!

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 bring together the expertise of leveraging on your data assets better.

Data Management

Data Analytics

Data Visualizations

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:

Acquire
Acquire

Identify, Connect and Acquire Data from ANY source (Structured, Un-structured, Industrial)

Integrate
Integrate

Integrate, Cleanse and Transform from multiple sources and formats

Store
Store

Build data mart / warehouse / lakes for Data Analytics & Visualization

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

Plan

Data Strategy:

Assessment,Technology Roadmap,Tool Evaluation,Use Case Definition,Capacity Planning

Align

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

Run

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

Innovate

Data Provision:
Information Delivery , Performance Engineering and Knowledge Management

Data Management: Technologies Expertise

  • 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 which 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:

Model
Model

Train data samples
based on a model

Process
Process

Run instances to process data and improve

Discover
Discover

Patterns, forecasts, dependencies through scientific techniques

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

Plan

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

Align

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

Run

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

Innovate

Information Assets:
Information Metamorphosis , Insight Delivery and Knowledge Management

Data Analytics : Technologies Expertise

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

DATA VISUALIZATION

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

Our approach to Data Visualization helps you with:

Past
Past

Draw insights from historical data

Present
Present

Respond in real time to current needs

Future
Future

Use predictive analytics to stay ahead

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

Plan

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

Align

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

Run

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

Innovate

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

Data Visualization Value Engineering Services :

Solution Engineering

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

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

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

Tools & Technologies Expertise

  • 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

Want to be Data Smart?

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Let us know you.

We are glad that you preferred to contact us.Our representatives and specialists
are ready with the solutions you need to advance your business.






Tell us more about your interest *