2. Agenda
Introduction
About Us
Leadership Team Profiles
Our value proposition
Our Service Offerings
Our Platform Driven BI Capabilities
Very Large Database Management
Complete Migration
Application Development, Upgrade & enhancements
Our Future Plans
Q&A
3. Introduction
• Incorporated on July 2012
• Mainly operating in BFS domain
• Focus Area
– High end Consultancy in BFS
– Business Intelligence, Analytics, Data Warehousing
& Big Data
– Implementation of Risk technology tools
– IT Operations , Training & Development
4. About us
•
•
•
•
A group from erstwhile i-flex solutions
Mainly experienced in BFS
Implemented Core Banking & other systems
Experience in large data warehouse in major
banks
• Good mix of technical & domain expertise
• Among us we have handled DWH for Citibank,
Deutsche Bank, State Street, FCIB, RBI, SBI,
Barclays, 5/3 Bank, ANZ etc.
5. Leadership Team Profiles
P V Giri (Founder)
− More than 29 years in BFSI (23
years in IT)
− Handled various facets of Banking
& IT
− Held Delivery leadership roles with
OFSS, iGate, IBM Global Services
and ATOS Origin.
− Core Banking, DWH & BI, Infra
Management & IT OPS
− Handled DWH for NSE, RBI, SBI,
Citi, DB, State Street, FCIB etc.
Swarnalatha
Founder)
Ramesh
(Co
–
− More than 16 years in IT industry
and 5+ years in Training for ITSM
− Worked with top IT players (i-flex,
Deutsche software, iGate)
− Worked in product development,
projects and managed service
projects for ING.
− Involved in all activities within IT
including a pure Project
Management role in Saventech (P)
Ltd
− PMP, IT Service Manager certified.
6. Our value proposition…
•
•
•
•
•
•
Be a value-added partner in offshore for
global delivery
Sub-contract work and deliver from offshore
Can cover ASPAC, India, Africa & ME regions
Help creating IPR and support model
Incubate talents to tap into visa-ready
resource pool
Support bank’s operations
7. Our service Coverage…
Consulting support in the Practice Area - BFS and DW/Bi
• Competency Building.
• Pre-sales support
• Market Research and GTM strategy
• Support in Key customer engagement
• Support in strategic transformation program
• Support evaluation, creation and roadmap and adoption of
complete technical framework for DW/BI/Analytics.
• Competency in Big Data
• Fast track Solution deployment using prebuilt analytics platform
9. Accelerated solution delivery through pre-built platform
Platform Driven BI Capabilities…
Salient Platform Features
A Semantic Modeler
The Analytic Processor
• Enables Business Information Analysis
• Measures Performance
• Generates Business Reports
• Publish Business Dash Boards
• Delivers Alerts
•Performs the actual data aggregation based on
analysis & report selection Reporting Tool
•Applies security filters, and user selected filters
Graph Library
•Computes based on business object sorting order
•And applies custom business functions
Compendium of capabilities enabled within an
enterprise or on the cloud
And the browser interface allows
• ETL Tool
• Reporting Tool
• Pivot Table
• Graph Library
• Dash Board
• Portal
•Dissect information from multiple business
perspectives
•Filter & sort data & apply custom grouping
•Visualize by converting text to multi axis
graphical display
•Define user measures, perfume computations,
view results against performance
•Ability to save analytical view as reports and set
it for auto refresh
12. VLDB FACTS
The term Very Large Database (VLDB) generally refers to a
Data Warehouse. 7 TB Database was the largest in 1997
(Knight Ridder Information)
VLDB contain detailed, historical data, summary data and
free-form extraneous fields of data that might or might not be
used in future DSS analysis
Data volumes, user communities, and workloads are growing
at accelerating rates
Demands for more data storage, Improved processing, and
higher customer satisfaction drive the rapid growth of
very large databases.
Larger the database, the greater the risk of performance and
scalability problems
13. Problem Areas - Before and After
Excess
Data
Excess
Data
Data
Business
Data
Excess
Data
Un-used or
Junk Data
Data
Data
Business
Data
Excess
Data
Expanding Business leads to Data Growth and that leads
to Database Growth in to Very Large Databases
14. Problem Areas
Un used Data, Inaccurate, Incomplete, and Inconsistent Data,
Data Volume, Duplicate Data, and Data Storage
Business Complexity, Data Integration, Environment
Requirements, Scalability, and Availability
Bottlenecks Causing Degraded Business Application
Performance
Multiple Sources for a Common Business Requirements
Records or fields, by design, are not being recorded properly
15. Service Offering
Hardware shortages,
Analyzing historical Trends
Performance, and
Alerts
Tuning the
Entire System and
Effective use of
RAID
Properly Sizing the
Database to hold
future DB growth
64-bit Server
Large Memory Space
for Database
Optimized for I/O
Cost effective,
fast access, Scalability,
Capacity Planning
online backup
and archiving
Disaster Recovery
Periodic Maintenance
Multiple Databases,
Change Requirements
and Development
16. Our Experience
Unique Focus, Specialized in Data Evaluation, Performance and
scalability of Terabyte Databases and Data Warehouses
throughout their lifecycle
Choosing the right Database Architecture to support VLDB
Physical DATA organization to improve Database Performance
Real Application Clusters for increasing scalability
and availability
Automatic Storage Management (for increasing performance)
Disk Management, Table space Management, Data Transfer
and Validation
Partition a large database into subsets
17. Value Additions
Improved Data Quality and Standardization.
System Upgrades Scalability
Increase Availability of Data and Improved End-User Experience
Increased Capacity and Performance
360º Insight into Larger Business Groups, Higher Profits
Faster, More effective system process improvement
19. Problem Areas
Increase in Business Process, additional requirements rapidly
changing business environment.
Increasingly complex customer requirements,
Customers have a difficult time getting the
information they need
The underlying environment has been found to be not
capable of handling large volumes.
Overall process/performance
20. Service Offering
Migration Compatibility Test, Third-Party Products
Supported on the Target Platform
Application Migration
Hardware Migration
Software Migration
Database Migration
Large Scale Migrations
21. Scalability - Problem Area
Volume of Data Matters in
line with the Appropriate
Storage or Archiving System
to use.
The More Complex
the Queries and the Greater
the number of Queries
Being Processed,
The More Powerful
the System Required
High Query Performance,
Query-Driven Approach
require better approach
Migration when Performance
Problems seem Insurmountable
and move to Specialized
Databases and
Dedicated Hardware.
Data Loading,
Slow Data Transmission,
Delay in Query
Processing
Integration and
Consolidation of
Data
Performance Requirements
of Data Access are
Increasing due to the
Evolving Nature of Business
22. Our Experience
Complete "end-to-end" migration methodology that
addresses all hardware, software and other components
Most applications can be migrated in 6-12 months
Tremendous flexibility and automation for
OS/Database/Application/OLAP migration
Meeting business requirement and IT service levels of
performance that business expects
Reduce costs and risk of productivity loss
Reducing the impact on existing environment operations
Experts in Mainframe Migration to a modern, open and
extensible platforms
23. Value Additions
Improved scalability, reliability, security core benefits
of the relational database are extended to the entire platform
Leveraging new technology enables business, more business
opportunities
Reduce maintenance cost
Improved efficiency, more powerful platforms
Increased organizational productivity
Decreased complexity and cost of system administration
A successful migration can make user group every happy
25. Problem Areas
Performance
Managing applications through the lifecycle is very complex
Issues with application Fixes to accomplish business
requirements
Change in Business Process that required to do more…
Software New Features
New Functionality
Vendors De-supporting software versions
Update existing customizations
27. Our Experience
Pre-defined or tailored approach
Detailed upgrade assessments (benefit from upgrading)
Provide before after Benchmark Results
Create a preliminary plan that identifies a strategy, tactic
and rationalization for upgrading the application
Highlight expectations during requirements study
28. Value Additions
Technology improvement
Application upgrade introduce changes
Significant advances with new version, capabilities,
and functionality
Establish a platform with the latest technology
Eliminate some of the existing customization, resulting
less maintenance
Support growth in existing business line (More Profits)
Achieving more functionality with high performance