Business Intelligence for Logistics Industry

Competing on Analytics

Competing on Analytics

Why compete on Analytics?

• Companies offer similar products and use similar technology

• Geographical advantage or protective regulation are eroded by liberalization and globalization

• Proprietary technologies are rapidly copied

• Breakthrough innovation in products and services are increasingly difficult to achieve

New Basis of Competition

• Efficient and effective execution

• Smart Decision making

• Ability to wring last drop of value from business processes

• All of above can be gained from sophisticated use of ANALYTICS

What is Business Intelligence

• Business intelligence (BI) refers to skills, knowledge, technologies, applications and practices used to help a business to acquire a better understanding of the market behavior and business context.

• The purpose of business intelligence is to support better business decision making.

What are Analytics

• Analytics means extensive use of data, statistical and quantitative analysis, explanatory and predictive models and fact-based management to drive decisions and actions

• Analytics are subset of Business Intelligence

• Business Intelligence is a set of technologies and processes that use data to understand and analyze business performance

• Business Intelligence includes both data access and reporting & analytics

Business Intelligence & Analytics

Analytics

Access & reporting

Degree of Intelligence

Co

mp

etit

ive

Ad

van

tag

e

Optimization

Predictive Modeling

Forecasting/ extrapolation

Statistical Analysis

Alerts

Query/ Drill down

Ad hoc reports

Standard Reports

What’s the best that can happen?

What will happen next?

What if these trends continue?

Why is this happening?

What actions are needed?

Where exactly is the problem?

How many, how often, where?

What happened?

Benefits of BI

• Cuts through the clutter of multiple data reports and presents actionable information

• Helps to combine various sources of data into one single repository to offer ONE VERSION OF TRUTH

• Improves productivity of analytics team by cutting down time to gather, clean and process data. With BI, the team can spend maximum time on analysis and arrive at better business decisions

• BI helps to correlate various business dimensions as compared to linear single dimension MIS reports

• Graphical and intuitive presentation of facts helps to focus minds on a problem rather than getting lost in mountains of boring numbers

Stages of Analytical Competition

The five stages of analytical competition

Stage 1

Analytically Impaired

Stage 2

Localized Analytics

Stage 3

Analytical aspirations

Stage 4

Analytically companies

Stage 5

Analytical competitors

Competing on analytics stages model

Stage Level of insights Questions asked Objective

1. Analytically impaired Negligible- “flying blind” What happened in our

business?

Get accurate data to improve

operations

2. Localized analytics Local and opportunistic- may not

be supporting company’s

distinctive capabilities

What can we do to improve

this activity? How can we

understand our business

better?

Use analytics to improve one

or more functions

3. Analytical aspirations Begin effort for more integrated

data and analytics

What’s happening now? Can

we extrapolate existing

trends?

Use analytics to improve a

distinctive capability

4. Analytical companies Enterprise wide perspective-,

able to use analytics for point

advantage, know what to do to

get to next level, but not quite

there

How can we use analytics to

innovate and differentiate?

Build broad analytical

capability- analytics for

differentiation

5.Analyitical competitors Enterprise-wide, big results,

sustainable advantage

What’s next? What’s

possible? How do we stay

ahead?

Analytical master- fully

competing on analytics

BI-- Qlikview + WebXpress

BI Architecture

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Metadata

Operational Processes

Business Intelligence Architecture

BI using Qlikview & WebXpress

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Qlikview Transform Data Extraction Engine

WebXpress Online ERP

WebXpress + QV BI Architecture

About Qlikview

• Qlikview, brough to you by Qliktech, is the world’s fastest-growing Business Intelligence software (IDC 2008)

• QlikTech has approximately 9,050 customers in 86 countries and more than 500 partners worldwide.

• Qlikview’s patented in-memory association technology brings fast results and better decision making to a wide range of customers and industries.

• QlikView is intuitive to learn, simple to modify and can be deployed in less than a week.• QlikTech was founded in Lund, Sweden and is headquartered in Radnor, PA (USA) with

direct operations throughout Europe and the Americas. 

About WebXpress

• WebXpress is India’s leading Logistics software solution suite that caters to Logistics Service Providers as well as Users of Logistics Services

• WebXpress is brought to you by ECFY Consulting Pvt. Ltd., a logistics technology solutions company based at Mumbai, India.

Finance & Accounts | CRM

Business Intelligence- Qlikview

DEVICES

Mobile

GPS

Bar Code

Sensors

B2B

Integration

EDI

RosettaNet

XML

Allied Services: Managed Web Hosting | Connectivity

Customer

Portal

• Tracking

• Invoice

• Complaints

• Enquiry

• Contracts

• E-POD

WebXpress Product Suite

Fleet Management Transportation WarehousingFleet Management Transportation WarehousingFleet Management Transportation WarehousingFleet Management Transportation WarehousingFleet Management

WebXpress BI- Analytics from Day One

• Why Qlikview?– Qlikview is world’s fastest growing BI

company – Figures as Visionary in Gartner’s Magic

Quadrant- 2008– Sets up in a few weeks as compared to

months for other BI tools– Easy to train, easy to use – BI for everyone

• WebXpress & BI– WebXpress offers BI as built-in feature– No set up time and ready to use templates– WebXpress domain expertise added to BI=

analytics from day one– Option to train customer staff on BI

development tools

Gartner’s Magic Quadrant for BI vendors- 2008

Qlikview- Gartner MQ since last 6 years

Gartner’s Magic Quadrant for BI vendors

2009 2011

Aberdeen Says

WebXpress BI Services

• Ready to use analytics: WebXpress team has prepared a set of analytics reports for various business areas. Customer can evaluate and pick and chose from these ready templates

• Study of new analytics: WebXpress domain experts will work with Safexpress decision makers to understand their analytical reporting requirements. These will be beyond ready to use templates

• Study of OLTP database: WebXpress technical team will study the data structure of various tables to understand table and field definitions, table relationships etc. The team will map the fields with those required for analytics.

• Load OLTP data into Qlikview: WebXpress technical team will design scripts to load data from OLTP system into Qlikview Data Files called QVDs

• Design/ deploy analytics: WebXpress team will then design analytics using Qlikview development tool and connect the analytics to data sources

• Training: WebXpress team will also train Safexpress technical team in use of Qlikview. WebXpress team will separately train users of analytics as to how Qlikview should be operated

Advantages of WebXpress Qlikview BI

Why WebXpress BI with Qlikview

World Class BI tool

• Qlikview- leader in next gen BI

• Used by over 8000 customers

• Team trained on Qlikview

Support Infrastructure

• Online Customer Support Portal

• Telephonic and IM support

• Project Management Office

Domain Focus

• Undiluted focus on supply chain

and logistics

• Product focus with services

Implementation Expertise

• Over 25 customers and 2000

users

• Project management expertise

• Interaction with Owners/ CXOThe WebXpress BI Advantage

Domain Expertise

• Expertise in TMS, WMS, Fleet, EDI

and GPS

• Consulting team with logistics

industry experience

Technical Expertise

• Team of Database experts

• Expertise in Data Extraction,

Transformation and Loading

• Programming expertise

Standard BI Implementation

Step 2: ExtractionExtraction of data from multiple sources- applications, XLS files etc.

45

Step 3: TransformationCleaning extracted data, removing inconsistent data, filling data gaps

45

Step 4: Loading Loading data into analytics engine database format 10

Step 1: Requirement SpecDetermining needs of management, departments, type of analysis, metrics, KPIs, reports

20

Step 5: TrainingTraining power users how to handle BI tools and run analysis. How to form data combinations for various requirements

15

Step 6: Presentation Run analytics and present outcome to management 10

Steps DescriptionTypical effort in

days

145

Limitation of Standard BI Project

• Over 70% of effort and cost of BI is spent on PREPARATION.

• A typical BI project can take 3-6 months to go live.

• That too, top management sees result only at the fag end of the project

• Thus, any expectation mismatch results in massive loss of time and effort, not to speak of costs

• Traditional BI can be used only by highly trained users and that too on specific hardware

WebXpress + Qlikview BI Implementation

Step 2: ExtractionWebXpress database is integrated with Qlikview, thus extraction of data takes less than 1 hour

1

Step 3: TransformationWebXpress data is clean, accurate and a singular source. Thus NO transformation is required

0

Step 4: Loading In Qlikview, extraction and loading are same steps 0

Step 1: Requirement SpecWebXpress has ready analysis options that top management can chose from

2

Step 5: TrainingQlikview is highly intuitive and ANY users can learn it within few hours

3

Step 6: PresentationTop Management as well as executives can run analytics themselves. No need for expert manpower to run BI

2

Steps DescriptionTypical Effort in

days

8

Traditional BI and WebXpress + Qlikview Comparison

Parameter Traditional BI WebXpress + Qlikview

Total project days 100-200 days 5-10 days

Consultants required BI Consultants

Domain Consultants

Database Consultants

Training experts

Trainers

Top Management time Extensive interviews, business understanding

At least 10-15 days

WebXpress understands your business

At most 2-3 days

IT Time Understanding data sources, data structures

and definition

At least 20-30 days

WebXpress data structures are built into

Qlikview

ZERO days

Infrastructure Separate hardware for BI engine Same server as WebXpress server

Costs breakup Consulting- 50%

Licenses- 40%

Hardware- 10%

Consulting- 30%

Licenses- 70%

Hardware- 0%

ROI 18-36 months 2-3 months

Qlikview BI Technical Architecture

Qlikview BI deployment

WebXpress SQL Database

Oracle DatabaseOther data

sources, XLS files

Extract, Transform, Load, Schedule

Analytics Development

Analytics File Repository

Qlikview Desktop Edition

Qlikview Browser Edition

3G Mobile

NetworkQlikview Small Business Server

VPN/ INTERNET

Qlikview iPhone/ Android/ iPad client

Qlikview Solution Components

Qlikview Server• Deployment of Qlikview on Internet

• Repository of QVW files to be opened in browser

• Connection to Qlikview Enterprise

Qlikview Personal Edition • Development tool to create new analytics

• Add, edit, delete charts

• Add data sources such as XLS

• Connect to Qlikview Enterprise repository

Qlikview Product • Usage

QV Analyzer on Desktop • Run analytics charts by changing parameters

• Export charts, data tables

• Decision making based on analytics

• Connect to Qlikview Enterprise repository

QV Analyzer on Browser • Browser based access of Qlikview files

• Export charts, data tables

• Decision making based on analytics

• Connect to Qlikview Enterprise repository

Customer Analysis

Traditional method using ERP reports

Step 1: Get all customer related reports

• Sales register for last 2 years

• Bill register

• Sales summary- location wise, business type wise, pay basis wise

• Outstanding report

• Time taken: 2 hours

Step 2: Collate information using XLS

• Use pivot tables, filters, macros to get to various out put

• Convert data into charts using chart wizards

• Time taken: 6 hours

Step 3: Present the data

• Prepare a presentation; build in charts, XLS links

• Time taken: 2 hours

Thus, total time taken for ONE customer analysis will be 10 hours. Given learning curve effect, it may

not take that long for next customer analysis.

The Next Level of Analysis

Now, will it be possible for the team to answer all of following questions:

• Please above analysis for a particular ZONE• Please given analysis for mode=Air and Pay basis=TBB• Please show data only for 2008• Now show data for 2007 and 2006 but not 2008• Please show data across the years only for Monsoon- that is Jul,

Aug and Sep• Show day wise sales trend for January 2008• Show data in %, number of transactions and sales in Rs. Lakhs• Show data combined for customer A and customer C

Analysis using Qlikview

Step 1: Open Qlikview and open Customer Snapshot Analysis

Step 2: Reload latest transaction data

Step 3: Answer questions as put up by management, in full graphical view, in a single dashboard

Total time: 5 minutesTime available to answer queries: Entire day

Seeing is believing: Data Across Customers

Scenario Building

• Shows Analysis for:– Customer: All names same as similar to- Ingram Micro – Year 2008– Month- Jan to March– South Zone + North Zone– Pay basis- TBB and To Pay– Mode of service: ALL

• Show following output– Shows sales breakup in %– Show Pay basis breakup– Show yield– Show unbilled and billed– Shows daily sales trend– Show top booking and delivery locations

Data for a given customer

Cost Analysis

KPI

Cost BreakUp

Top Cost Analysis

Cost Register

Cost Trends

Thank You

KEEP IN TOUCH

Headquarters Regional Sales Office

114, Sundervilla, S. V. Road,

Santacruz (West), Mumbai – 400052

+91 93 232 428 02

+91 22 325 735 60

ECFY Consulting Pvt. Ltd.

107, First Floor, Suncity Trade Tower,

Sector–21, Gurgaon – 122001

+91 93 117 363 59

info@webxpress.in www.webxpress.in