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23-Jan-07 3
Mission
“Create business value for clients by enabling superior performance through unleashing hidden wealth in operational and external data sources combined with innovative Analytics.”
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History
C-BIA, a division of TechKnit was founded in 2004
TechKnit IT enabled Services is a private company owned by renowned professors: MIT Professor Dr. Nitin R. Patel Harvard Professor Dr. Cyrus R. Mehta
the founders of Cytel Inc. Massachusetts, USA (www.cytel.com).
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FoundersCyrus Mehta, Ph.D. - Founder and President , Cytel Inc.
An influential thought leader in the area of biostatistics Dr. Mehta has concentrated his research activities on developing software and
innovative methods for flexible clinical trial designs and non-parametric exact statistics.
Dr. Mehta has published over 65 papers in journals like JASA, Biometrika and Biometrics.
He and his co-authors, Dr. Nitin Patel and Dr. Karim Hirji received the 1987 George W. Snedecor Award from the American Statistical Association.
In 1995 Dr. Mehta was elected a Fellow of the American Statistical Association. In 2000, Dr. Mehta was named the Mosteller Statistician of the Year by the
Massachusetts Chapter of the American Statistical Association. In addition to his activities as Chairman of Cytel Software Corporation, Dr. Mehta has
been a member of the faculty in the Department of Biostatistics, Harvard School of Public Health since 1979.
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FoundersNitin Patel, Ph.D. - Founder, Chairman and Chief
Technology Officer
Dr. Patel is a leading expert on the development of fast and accurate computer algorithms to implement computationally intensive statistical methods.
He has published over sixty-five refereed papers in the areas of statistics, operations research and computing.
He and his co-authors, Dr. Cyrus Mehta and Dr. Karim Hirji, received the 1987 George W. Snedecor Award from the American Statistical Association.
In 2003, Dr. Patel was elected a Fellow of the American Statistical Association. Dr. Patel has been a member of the faculty at MIT's Sloan School and the Operations
Research Center since 1995. Previously, he was a Professor at the Indian Institute of Management, Ahmedabad,
and held visiting positions at Harvard, the University of Michigan, the University of Montreal and the University of Pittsburgh.
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People
Team of 40 people in Pune, consisting of: Statisticians (Ph.D. and Masters in Statistics) Statistical software developers (Masters in Statistics)
Microsoft SAS
Data Analysts and Business Intelligence solution designers and developers (MBAs and Masters in Statistics)
Data Managers (MCAs) Information Technology managers (Engineers and MCAs)
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Spirit of Research, Innovation and Experimentation Foundation of Cytel is
based on research work of the Founders
Imbibed from the founders “mind-set”
Collection of people build it further
Vast repository of methodologies and software library
Witnessed in several products, key amongst them are:
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C-BIA Management Mayank Shah Chartered Accountant
Mayank has over 27 years' experience as Consultant, Executive and Academician in the field of MIS and BI applications for business. Mayank is Consultant and Executive Director of TechKnit and leads C-BIA.
Ajay Sathe PGDM, IIM, AhmedabadAjay has over 17 years' experience in IT industry specializing in Software Development
and Technology Management. Ajay is Director of TechKnit and CEO of Cytel India. Shrikant Athavale, Industrial Engineer
Shrikant has nearly 36 years' experience in Industrial Engineering and Quality Management. Shrikant is Executive Director of TechKnit and leads C-elt, an e-Learning unit.
Vanaja Vaidyanathan, MBA and Cost and Works AccountantVanaja has over eight years of experience in Business Intelligence practice, including
work experience with A F. Ferguson & Co., Asian Paints, GE Capital and Satyam Computer services and is in charge of delivery at C-BIA.
Dan Crowell, MSc. in Economics, London School of EconomicsDan is our associate based in USA, looking after business development and client
interaction. Dan worked with IFC, GBI Team during 2004 to 2006 to coordinate activities in the field in South Asia. He first worked in South Asia in 1999 when he was a Fulbright Scholar in India.
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Experts Panel Nitin Patel, Ph. D.
Dr. Patel is a leading expert on the development of fast and accurate computer algorithms to implement computationally intensive statistical methods. Dr. Patel is Founder and Co-Chairman of Cytel Software Corporation, Cambridge, MA, USA and Visiting Professor. MIT Sloan School of Management.
Suresh Ankolekar, Ph.D.Dr. Ankolekar has over 23 years of academic and consulting experience at Indian Institute of
Management, Ahmedabad (IIMA) and Maastricht School of Management, Netherlands (MSM). Prof. Ankolekar has developed commercial software to solve large-scale optimization problems in transportation and has provided consulting in analytical software projects to Cytel Inc., and others. Prior to his doctoral study in management at IIMA, he worked as industrial engineer at Larsen and Toubro (Bombay).
Ashok Nag, Ph. D.Dr. Nag, a former senior executive of the Reserve Bank of India, the central bank and the
monetary authority of the country, is a well-known expert in the banking and financial analytics, data warehousing and data mining.
Sunil Lakdawala, Ph. D.Dr. Lakdawala has over 20 years' of consulting experience in IT applications for business
including Data Warehousing and Data Mining. Dr. Lakdawala is a consultant in BI applications and is visiting professor at S. P. Jain Institute of Management & Research.
V. Chandran, Aeronautical EngineeringChandran has over 22 years' experience in technology functions, including CTO positions in
companies with sizeable software teams. Chandran is Vice President with Cytel India heading Technology Management function besides managing consulting assignments.
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C-BIA Partnerships
SAS: Silver Alliance partner… Mastek: BI Solutions… Cytel-Cognizant: Pharmaceuticals- clinical
trials… Statistics.com…XLMiner marketing in USA Syscon: BI solutions to logistics vertical…
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Expertise Data Warehousing
Manage large volume of data Building data warehouse and ‘cubes’
Online Analytical Processes (OLAP) Studying data patterns by slicing, dicing and drilling Making inference
Data Mining Manage large volume of data Sampling Building valid models Making predictions – scoring
Statistical Analysis Manage large volume of data Data distribution Pareto Outliers Trends Correlations
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Technology and Infrastructure in Pune 6000 sq. feet of office space in Pune Secured Network with high bandwidth
Connectivity Windows and SAS Platforms with more than
six servers Methodologies and SOPs for Clinical Trials,
Analytics and BI solutions Well established software development
practices
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Selected Customers
ProfitLogic, US Bharat Petroleum, India
Mastek, India
Dainik Jagran, India
Trumac, India
TAM Media Research, India
Savita Chemicals, India
KPIT Cummins Infosystems Ltd., India
Tata Motors Ltd., India
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Critical Success Factors for BI Actionable Information
Summary information to assess performance v/s target and benchmark Discover low performing and high performing areas Discover causes of low / high performance
BI Design Key Performance Indicators (KPI) OLAP Views Reports
Leverage technology Dash Board Drill-down, Slice and Dice information Reports – filter / sort information
Deploy analytical techniques – correlation, pareto analysis, trend analysis, distribution analysis
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Business Performance Management Issues(Scope for using Balanced Score Card)
Are we getting good value for our facilities? Is our sales network and channel management good
enough to generate adequate occupancy at the best average room rates in our class of hotels?
Are we managing our operations efficiently to generate adequate returns?
Are our guests satisfied with our room quality, food, services etc.?
Are we getting good share of spend by our clients during their stay? Is it increasing or decreasing?
What are the utilization levels of different facilities by customers staying at our hotels and casual visitors?
What is the level of repeat sales, loyalty sales etc.?
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BSC Chain
ROI
Profitable Customers
InternalProcesses
Learning and
Growth
SegmentationSatisfactionShareProfitability
Services OperationsInnovation
Satisfied and Effective EmployeesTechnology support
Financial
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Business Processes Rooms Food & Beverages Banquets Other Services Customer Acquisition, Retention and Attrition Customer Satisfaction Financial Performance Inventory Management Procurement Maintenance & House Keeping HR
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CustomerPerformance Management
Issues At what rate we acquire new
customers? What is the trend in Customer
spend? What is the change in wallet
share of customers? What is the attrition rate of
Customers? Who are our Customers and
what segments they belong to?
KPI and Trends New Customer Acquisition Nos /
% Revenue share of New Customers
% Average Spend Increase by
Retained Customers % Attrition Rate Nos / % Revenue Estimate of Lost
Customers
Dimensions Customer class Time
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RoomsPerformance Management
Issues What is occupancy trend? What is Average Room Rate
(ARR) Trend? What is Customer Segment-
wise Room Revenue? Which segments contribute to
higher ARR / Occupancy? How are different channels
performing?
KPIs and Trends Room Revenue Average Room Rate Occupancy % Rooms Available % of Total
Rooms Repeat Customer Occupancy
%
Dimensions Room Type Customer Segment Time
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Food & Beverages
Performance Management Issues
What is the share of F&B Revenue?
Contribution of restaurants/outlets to F&B Revenue?
Which Customer Segment contributes high / low to F&B Revenue?
KPIs and Trends F & B Revenue F&B Revenue Share % F&B Revenue by resident
customers %
Dimensions Restaurant / outlet Food style Customer segment Time
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BanquetsPerformance Management
Issues What is the share of
Banquet Revenue? Contribution of different
facilities to Banquet Revenue?
Which Customer Segment contributes high / low to Banquet Revenue?
What is the Average Revenue per Guest?
KPIs and Trends Banquet Revenue Banquet Revenue Share % Average Revenue per Guest
Dimensions Facility Food style Customer segment Time
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Financial Performance
Performance Management Issues
What are the trends in: Revenue Profitability Outstanding Receivables Foreign Currency Earnings
KPI and Trends Revenue Gross Profit GP Margin % Operating Costs Operating Profit Operating Profit % Receivable % of Revenue Foreign Currency Earning $
Dimensions Service Customer segment Time
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Inventory ManagementPerformance Management
Issues What is the RM inventory level
do we have: Ex-stock items Made-to-order itemsAt: Stores At the sale locations
What is the ideal inventory should we have considering:
Consumption forecast Lot size Frequency of replenishment
What is the excess inventory? What is the obsolete inventory? What is slow moving inventory? What inventory will become
obsolete in next six months?
KPI and Trends Inventory % of Consumption Excess Inventory Near-to-expiry Inventory Slow Moving Inventory Stock-outs (No. of Events /
Loss of Revenue)Dimensions Item Location Time
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ProcurementPerformance Management
Issues Who are my most preferred
vendors? What is purchase cost from
vendors for a particular product? What is the rejection rate per
vendor? What is their on-time delivery
performance? What are the lead times?
KPIs and Trends Purchase Transactions (Nos.) Purchase Value (Rs. in ‘000) Rejection (%) On-time Delivery (% of Order
Items) Average Purchase value per
transaction (Rs. In ‘000) Average Delay Duration
(Days)Dimensions Item Vendor Location
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Maintenance and House KeepingPerformance Management
Issues Are our guests satisfied
with our maintenance and house keeping?
What kind of complains do we get?
How quickly they are resolved?
Are we managing our operations efficiently?
KPIs and Trends Complaints (Nos.) Avg. time to resolve (Minutes) Cleanliness Index Customer satisfaction rating Cost % of Revenue
Dimensions Location Customer class Type of Problem
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Look at all reports and views available subject-wiseSelect information from chosen subject
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Drill down ...to study Low and High Performing Room Type-wise Occupancy & Revenue for a Month
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Analyse ….Pareto ChartChannel wise contribution to revenue…
Pareto Chart for Rooms Revenue
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Why XLDashBoard?
Enterprise wide application providing ‘single version of truth’ Data stored in dedicated Data Warehouse and Information
Cubes Protected data No voluminous queries run on transaction systems Instantaneous response to users with summary
information, drill-downs, slice and dice functions Access control mechanisms Ability to build ad-hoc reports, new Query and Analysis Views BI functionality comparable to any world class BI Application. Cost Effective