Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

40
Business Intelligence Solution Presentation to Grand Hyatt, Mumbai & for Actionable Information

description

Business Intelligence Solution Presentation to Grand Hyatt, Mumbai. & for Actionable Information. Center for Business Intelligence and Analytics (C-BIA). for Actionable Information. Mission. - PowerPoint PPT Presentation

Transcript of Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Page 1: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Business Intelligence SolutionPresentation to Grand Hyatt, Mumbai

&

for Actionable Information

Page 2: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Center for Business Intelligence and Analytics (C-BIA)

for Actionable Information

Page 3: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

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.”

Page 4: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 4

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).

Page 5: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 5

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.

Page 6: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 6

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.

Page 7: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Uniqueness and Expertise

Page 8: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 8

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)

Page 9: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 9

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:

Page 10: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 10

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.

Page 11: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 11

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.

Page 12: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 12

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…

Page 13: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 13

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

Page 14: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 15

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

Page 15: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 16

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

Page 16: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Business Intelligence for Hotel Industry

Page 17: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 18

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

Page 18: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 19

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.?

Page 19: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 20

BSC Chain

ROI

Profitable Customers

InternalProcesses

Learning and

Growth

SegmentationSatisfactionShareProfitability

Services OperationsInnovation

Satisfied and Effective EmployeesTechnology support

Financial

Page 20: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 21

Business Processes Rooms Food & Beverages Banquets Other Services Customer Acquisition, Retention and Attrition Customer Satisfaction Financial Performance Inventory Management Procurement Maintenance & House Keeping HR

Page 21: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 22

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

Page 22: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 23

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

Page 23: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 24

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

Page 24: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 25

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

Page 25: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 26

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

Page 26: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 27

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

Page 27: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 28

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

Page 28: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 29

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

Page 29: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

XLDashBoard Functionality

for Actionable Information

Page 30: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 31

Graphical Dash Board for your Favorite Performance Charts….

Page 31: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 32

Key Performance Indicators and their performance trends…Average Room Rate

Page 32: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 33

Look at all reports and views available subject-wiseSelect information from chosen subject

Page 33: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 34

Study ….find Room Type-wise Occupancy & Revenue for a Year…

Page 34: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 35

Drill down ...to study Low and High Performing Room Type-wise Occupancy & Revenue for a Month

Page 35: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 36

Look at user-friendly graphsRoom Revenue and % of Total Revenue by Market Segment

Page 36: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 37

Analyse ….Pareto ChartChannel wise contribution to revenue…

Pareto Chart for Rooms Revenue

0

50000000

100000000

150000000

200000000

250000000

300000000

350000000

[DLX

]

[SU

P]

[SP

R]

[EX

E]

[BU

S]

[TO

P]

[SA

P]

Room Type

Fre

qu

en

cy

0%

20%

40%

60%

80%

100%

120%

Cu

mu

lati

ve F

req

%

RoomsRevenue

C.F.% forRoomsRevenue

Page 37: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 38

Generate Trend chart…Gross Hotel Revenue.. By Customer Segments

Page 38: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 39

Generate a Report…Listing Daily Collection

Page 39: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

23-Jan-07 40

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

Page 40: Business Intelligence Solution Presentation to Grand Hyatt, Mumbai

Thank You

Any Questions?