TECHNOLOGY
Vital Analytix

VITAL ANALYTIX

Flexible and Modular

  • Architecture: Three-tier cloud-enabled architecture with Application, Web, and DB Servers. Built on J2EE design patterns with business logic and data access separated
  • Works with all industry standard operating systems, application servers and databases
  • Mobility: Web-based access from desktop, mobile or any web-enabled device

Analytical

  • Multi-dimensional Analysis enabled by creation of smart data marts and OLAP Cubes
  • Master Data Management enabled via front-end access to users for editing, updating and deleting
  • MDX engine enables business users to perform multi-dimensional analysis using a Slice and Dice interface

Scalable and Reliable

  • Ability to handle large data sets without compromising on performance
  • Easily manage large number of concurrent users
  • Role-based data access and extensive audit trails
Workflow Engine

Workflow Engine

Core Engine

  • Based on industry standard JBPM framework
  • Possible to customize business process rules
  • Integration with email engine for alerts
  • Includes Data Entry screens and front-end uploads
  • Extensive logs for audit and other purposes

Application

  • Integrate into your Business Process: Capture tactical knowledge inputs which are not currently being captured by business processes or transaction processors
  • Case Management: Intelligence for decision making such as approve, reject, escalate, forward, etc.

Use Case examples

  • Budgeting and Planning
  • Case Manager for Abnormal Transaction behavior such as Anti-Money Laundering and Fraud Analytics
  • Data upload for Master Data Maintenance
Big Data

Big Data

VITAL CLUSTER

  • A load balanced OLAP architecture to scale up processing capability
  • In-memory computing and custom pagination to project large datasets to the end user

IN-MEMORY CACHE

  • Fast Cache grid implementation using Redis
  • Stores large datasets for the MDX queries
  • Significant improvement in performance when data is preloaded as part of the BoD/EoD ETL run

NoSQL based OLAP

  • Move past the OLAP engine constraint of querying RDBMSes by implementing NoSQL querying capability
  • MDX to NoSQL translation will bring to the table the Big Data framework benefits
  • MongoDB document stores and HBase based solutions
  • Hadoop/Spark frameworks used to aggregate large data-sets, to service end user queries
Visualization

Visualization

Dashboard Designer

  • Design-it-yourself: Create custom dashboards with 100+ customizable charts
  • Interactive: Dig deeper using dimension filters and drill-down capabilities
  • Favorites: Add important KPIs to the page for a running indicator

Slice and Dice

  • Create data pivots that include sub-totals, filters, conditional formatting, data sorting
  • Paginate datasets to simplify navigation
  • Save and Schedule views to reach multiple users
  • Download to Microsoft Excel, CSV, PDF

Decision support and Reporting

  • Access on the desktop browser, mobile device and through plug-ins for Microsoft Excel and Outlook
  • Decision support capability including alerts and exception reports
  • Report designer functionality

Vital Portal

  • An add-on module, that provides single view to multiple indicators of the business
  • Combines and harmonizes data from diverse and multiple data sources to present complex KPIs
  • Custom-designed user interface
  • Drill-down capability to reach the atomic data level
ETL

ETL

Connects and Reads from diverse sources

  • Extract from disparate sources such as structured databases, flat files, XML, unstructured data and web/FTP servers
  • Standard and custom validation and cleansing capabilities including entity resolution
  • Data storage techniques include Normalization, Encryption and Decryption

Extensive Transformational Capabilities

  • Logical, statistical, mathematical functions for complex transformational capabilities
  • Generate new fields or values based on aggregate data, or defined functions
  • Store calculated values for faster retrieval
  • Combine data from multiple sources to create new data sets

Smart Execution

  • Batch job execution for parallel ETLs
  • Scheduled as well as on-demand transformations with detailed logs and post-transformation alerts
  • Automated mails to specific lists
  • Auto-delete after a process
  • GUI-based interface for ease of design
Data Modeling

Data Modeling

Supported on Vital Analytix

  • Proprietary models to predict likely business outcomes
  • Embed these models as part of the ETL process using VA capabilities and proprietary coding
  • Integrated visualization using Slice and Dice, and dashboard modules of Vital Analytix

Industry Tools

  • Build models on industry standard tools- R Language, Weka, SPSS, etc.
  • Incorporate machine learning techniques
  • Where feasible, integrate the results into the Vital Analytix framework

Use Case Examples

  • Scoring
  • Probability Estimation
  • Co-relation analysis
  • Association Analysis
  • Clustering and Segmentation