actiknow business consulting pvt. ltd. · pdf fileall rights reserved with actiknow business...

All rights reserved with ActiKnow Business Consulting Pvt. Ltd.707, Siddhartha Building, 96 Nehru Place, New Delhi, India-110019

Corporate:

A- 49, 4th Floor, Sector 8, Near Queens Valley School, Dwarka, New Delhi -110075

100 Franklin Sq Drive, Suite 207, Somerset, NJ 08873

Operation: Marketing:

http://www.actiknow.com

Jan, 2016Company Profile

ActiKnow Business Consulting Pvt. Ltd.

All rights reserved with ActiKnow Business Consulting Pvt. Ltd.

Client’s region

Ou

r re

gio

n

Milestone 1 Milestone 2 Milestone 3 Milestone 4

Your project manager

Our project manager

Milestone

Final work

Iteration

Deliverable

Feedback

Best in class project management practice

Summary

Established in 2010, the company has strong expertise in four major domains• Customized BI in PHP, .Net, Java,

ROR and Mobile technologies• Boxed BI in Tableau, MySQL, SQL

and MS Stack• Data Management & Analytics• Excel, Access Automation

Current team size of the company is 70, out of which 60 are Analysts, Consultants & Project Managers .

ActiKnow’s competency is significantly high in terms of intellect and experience. We have people from IIT’s, ISB and other domain specific institutions with experience ranging from 5-10 years.

Our Clientele includes top consulting firms and fortune 500 companies.

For more details please visit

http://www.actiknow.com

Abhishek SinghSr. Business AnalystM: +91 9560428038E: [email protected]: actiknowW: http ://www.actiknow .com

Contact

Clients

- Rated amongst top 1% of analytics companies on E-lance.- 20+ certified consultants with varied experience in analytics- In just three years of operation , clientele consists of some Fortune 500

players & small & mid segment business enterprises as well.- Delivered 500 plus dashboards to clients situated Globally in last three

years of operations.

Business Snapshot

Core Competency

CostExperienceQuality

ActiKnow Business Consulting Pvt. Ltd.ABOUT US

http://www.actiknow.com/

mailto:[email protected]


Engagement models || We provide flexible engagement opportunities to

our clients, which takes a new shape as per the project requirements

Management

Consultants

ClientActiKnow

Fixed project/price modelA

• For larger projects with clearly defined scope

• Our team assists in delivering projects and milestones within our capabilities

Onsite/Offsite dedicated teamB

• You can have a team fully dedicated to your work

• Project management can be done ether by you or us

One on one support model (For Consulting Projects)

C

• Your consultants can directly work with our consultants or get their assistance in tool, insight & report generation

Contracting

Training

Recruiting

Staff AugmentationD

• All positions are filled from our staff of highly qualified candidates almost all whom have worked for a reputed BI or Data Analytics firm.

Our Engagement Models:ABOUT US


Excel - Access Business Intelligence || ActiKnow has developed applications using VBA for tracking, data modeling and reporting of business activities

Excel Application

Tracking Tools

Models

Dashboards

Management reporting

Inventory management

Proposal generator

Supply chain management

Sales force effectiveness

Sales tracking

Inventory tracking

Resource tracking

Attrition tracking

Pricing

Financial

Channel optimization

Statistical

Sales

Inventory

Log analysis

HR Reporting

Specialties:• User friendly

Interfaces• Insight supportive

database design• Dashboards consisting

KPI’s• Fully automated

reports• Insightful analysis of

your business data

Get your reporting structure

automated by our intelligent

Excel-VBA solutions


Excel-Access dashboard samples || Back-End Excel/Access/SQL/MySQL

Dashboards


Customized Business Intelligence || ActiKnow services include developing web-based applications using PHP, .NET, ROR, Java and Mobile Techs (Native + Hybd.

Our objective of usingthese platforms is purelyproviding web-based BusinessIntelligence applications.

What we do:• We develop process

optimization tools• We develop resource

tracking tools• We automate your Reporting

Process• We provide live dashboards

Type of solutions delivered• Online least tracking system• Claim management

application• Budgeting application• Proposal generation tools• Sales tracking &

management reporting application with multiple functionality

• Bonus allocation and budgeting application

• We use PHP, .NET & Java to provide web-based BI solutions

• So far our team has developed 50+ BI solutions using PHP, .NET & Java

• Our services includes development of Web applications not websites.

Experience

Developed 25+ BI solutions including Leased Equipment Tracking tool to Time Sheet Tracking

Developed 10+ smart Reporting Apps, which fetchdata from different sources andgenerate SMART Reports

Developed 20+ large sized applications having complexities attributes of CRMs and ERPs

We provide web-based

services using


Samples of Customized Business Intelligence || Front End-PHP/.NET/Java/HTML5/ ROR || Backend-SQL/MySQL/LotusNotes/JSON/XML/SugarCRM/Mongo/Jira

Dashboards


Samples of Customized Business Intelligence || Mobile Applications

Screenshots


Boxed Business Intelligence

Turnkey delivery expertize in QlikView right from POC to maintenance and post project support

Hands on experience of delivering data modeling, analysis and reporting services on Tableau Desktop, Tableau Server and Tableau Reader

ActiKnow has partnered with IBM to provide Cognos services across the globe.

We have delivered some of the most challenging MSBI based solutions working with a mix of technologies to support requirements not possible in MSBI

Our services Ranges from:

• Installation

• Report development

• Portal development

• Data extraction and warehouse creation, SQL and Oracle

• Administration and support

• Consulting and Support

• Framework Manager

• Development of Cubes

• Dashboard


Samples of Boxed Business Intelligence || Front End-Tableau/QlikView/Cognos/ MSBI || Back End-SQL/MySQL/LotusNotes/JSON/XML

Wo

rld

wid

e p

ow

er p

oin

t an

alyz

er

in t

able

au

Reg

ion

al w

ork

forc

e p

erfo

rman

ce A

nal

yzer

Man

ufa

ctu

rer

wis

e s

ale

s tr

acke

r

KP

I Tra

cker

Dashboards


Data Analytics and Data Modeling || Hand on experience of delivering analytics services using multiple analytics platforms

Identity Resolution/ Data De-Duplication using text matching algorithms for a leading Insurance and asset management company

Customer Behavioral Segmentation model for India’s leading financial services company

COGNOS based Reporting Architecture for inventory management for a tyre manufacturer

A customer scorecard using Binary Logistic Regression to predict the propensity of customers to repay for collection recovery

What IF simulator to predict the sales at different pricing levels for a leading FMCG company

Sample optimization to predict the correct sample distribution levels for a pharma major

Data Visualisation Platforms

Data Analysis Platforms SSIS SSASSSRS

Examples

http://www.google.co.in/imgres?imgurl=http://www.techiwarehouse.com/userfiles/image/Access_Logo.png&imgrefurl=http://www.techiwarehouse.com/cat/53/Access-(MS-Office)&usg=__cUR8mbMEO6I2T0jkz2rdWFjlkJg=&h=203&w=204&sz=19&hl=en&start=2&itbs=1&tbnid=AP5XafV7Py6cwM:&tbnh=104&tbnw=105&prev=/images?q=microsoft+access+logo&hl=en&sa=X&gbv=2&tbs=isch:1

http://www.google.co.in/imgres?imgurl=http://www.pace.edu/pace/media/images/its-images/sas-logo.jpg&imgrefurl=http://www.pace.edu/pace/about-us/administration/its/about-its/policies-projects/sas-e-learning/&usg=__OYEMDsbl3ovwq_u92Xi-XWuJVRg=&h=278&w=696&sz=29&hl=en&start=3&itbs=1&tbnid=a_Bmo7WjqEIRsM:&tbnh=56&tbnw=139&prev=/images?q=sas+logo&hl=en&gbv=2&tbs=isch:1

http://www.google.co.in/imgres?imgurl=http://www.pace.edu/pace/media/images/its-images/sas-logo.jpg&imgrefurl=http://www.pace.edu/pace/about-us/administration/its/about-its/policies-projects/sas-e-learning/&usg=__OYEMDsbl3ovwq_u92Xi-XWuJVRg=&h=278&w=696&sz=29&hl=en&start=3&itbs=1&tbnid=a_Bmo7WjqEIRsM:&tbnh=56&tbnw=139&prev=/images?q=sas+logo&hl=en&gbv=2&tbs=isch:1

http://www.google.co.in/imgres?imgurl=http://www.goomedic.com/wp-content/uploads/2009/03/spss.gif&imgrefurl=http://www.goomedic.com/spss-tutorials-educational-videos-and-courses-materials.html&usg=__Jn5N4xxvE_woVOwEw7q3M_kR798=&h=360&w=360&sz=4&hl=en&start=3&itbs=1&tbnid=5iZ6BeYschwJEM:&tbnh=121&tbnw=121&prev=/images?q=SPSS&hl=en&gbv=2&tbs=isch:1

http://www.google.co.in/imgres?imgurl=http://www.techiwarehouse.com/userfiles/image/Access_Logo.png&imgrefurl=http://www.techiwarehouse.com/cat/53/Access-(MS-Office)&usg=__cUR8mbMEO6I2T0jkz2rdWFjlkJg=&h=203&w=204&sz=19&hl=en&start=2&itbs=1&tbnid=AP5XafV7Py6cwM:&tbnh=104&tbnw=105&prev=/images?q=microsoft+access+logo&hl=en&sa=X&gbv=2&tbs=isch:1


Data Analytics Report Samples

Question Code Key Questions

1 How does your team collaborates with you?

2 How do you rate you PM’s leadership?

3 How’s the atmosphere at cafeteria?

4 Your overall satisfaction with this job?

5 Do you see your goals fulfilled here?

6 How do you rate your fitment for this job?

Dashboards


Case Studies


Business Intelligence Case 1 || MS EXCEL: Automated Weekly Management Dashboards for a mid tier US pharma to provide a customizable single view of data


Data management Case Study 1 || Data Flux: Rapid turnaround of de-duped master data enabled a leading Financial Services Group to meet an aggressive SFA deadline

We used a sophisticated identity resolution engine using a combination of rule based decision trees, text matching and fuzzy logic to de-duplicate the data with > 99.99% accuracy

De-Dupe Engine

Step 1

Rule based Data Cleaning

Step 2

Merge/ Match Algorithms

Step 3

De-dupe Algorithms

Phone Number Cleaning

(M_ID PH)

House holding identification (M_ID H_ID)

Div1 De-dupe table

(P1_ID)

Div2 De-dupe table

(P2_ID)

DIv3 De-dupe table

(P3_ID)

Master De-dupe table

(P1_ID, P2_ID, P3_ID M_ID)

• Master List of Customers across Business Areas

• Dial-Ready Phone numbers for all customers

• Indentified unique households

Key Deliverables


ActiKnow’s Analytics Services || Predictive analytics services methodologies and offerings

Customer Analytics

• Acquisition Strategies• Cross Sell/ Up-Sell• Churn Management• Customer Lifetime Value

Product Analytics

• Customer Segmentation• Promotion Response Modeling• Campaign Analytics• Sales Forecasting

Promotional Channel Analytics

• Multi Channel Optimization• Sales force sizing and structure• Incentive Compensation• Territory Alignment

Predictive Analytics

Trend Analytics and Forecasting

Dashboards and Reporting

Methodology Service Offerings

Constructing

Hypotheses

Hypotheses Testing

Fine Tuning

Deriving Actionable Insights

Data Collection

Business Context Understanding

Framing the Problem

Using Statistical Tools, Models & Qualitative analysis

Data exploratory analysis & interpretations

Data Integration & Cleansing

Iterative Analytics

Cycle

Evaluate Business Impact / potential

Refine Problem

Definition


Analytics Case Study 1 || Robust Collection recovery strategy was developed for a leading bank optimizing spends across different recovery channels

Customer Profile and

Transaction Data is used to

identify important attributes

for creating a predictive model

A logistic regression model is

created based on past 6M data

and validated over the next 6M

The model is auto refreshed

every month

ActiKnow Approach

Client, a leading bank, wants

maximize revenues by

optimizing its collection efforts

on early delinquent accounts

(60 days day past due)

The objective is create a

scorecard to distinguish the

good accounts (maximum likely

hood of regular payments)

from the bad accounts

Client Situation

Client uses different strategies

(IVRS Calling, SMS, Outbound

Calling) for different segments

optimizing spends.

Impact


Analytics Case Study 2 || Cross-sell strategies on a diversified financial portfolio

Objective:

To develop cross-sell strategies on a diversified financial portfolio with the view to answer who should be targeted with what product mix

Key challenges

Limited data availability

Diverse products (life insurance, mutual funds, auto loan etc.)

Limited availability of existing cross-sell

Approach:

Results:

A scientific way to run cross-sell campaigns, define targets, measure performances was deployed organization wide

On a total portfolio of 4,50,000 customers across products (LI, MF, VL etc.), cross sell penetration increased from less than 1 per cent to 4 per cent with in 6 months of implementation.

Recalibrate the models after a year- shows client satisfaction

Surrogate Data Creation

• Create data using business logic, survey results and statistical techniques

Model Development

• Developed scorecards using binary logistic models for each product

Customer Profiling

• Profile customers with higher propensity to buy

Segmentation and Campaign Design

• Segment customers based on cross-sell scores and run campaigns


India Office:707, Siddhartha Building96 Nehru Place,New Delhi, India -110019

Telephone +91 11 4508 2711

NJ Office:1120 US 22E,Suite 101Bridgewater, NJ 08807

Email [email protected]

Websitewww.actiknow.com

Please feel free to reach out to:

Abhishek SinghBusiness Intelligence Consultant (EM)E: [email protected]: +91 7042 8631 11

Contact Us

http://www.actiknow.com/

actiknow business consulting pvt. ltd. · pdf fileall rights reserved with actiknow business...

Documents