Big Data Analytics India - Torqeye

7/17/2019 Big Data Analytics India - Torqeye

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TorQEYEA N A L Y T I C S



Business Analytics – Overview

Analycs is a field of “applied mathemacs to build business soluons”. In addion to it we also

provide cloud plaorm to store data, retrieve data and visualise data in customised forms. The

business soluons provided are built into soware applicaons and the output results are obtained

in real me.

The analycs competencies are

1. Markeng Soluons

→ Customer Life Time (Loyalty Management)

→

Segmentaon

→

Campaign Management

2. Human Resource

→ Recruitment Opmisaon

→ Job Hygiene Management

→ Arion Management

3. Operaons

→

Vendor Management

→ Supply Chain Opmisaon

→ Transportaon Opmisaon

→

Benchmarking and Performance Enhancement

4. Predicve Analycs

→ Real me Forecasng

→ Probabilisc Forecasng

The soluons and applicaons are

→

Dashboard Metrics

→ Business Process Building

→ Cloud Based Interacve Data Base



1. Markeng Soluons

1.1. Customer Life Time

It captures the business value of a customer in the enre sales process of any company. The value

in monetary terms helps us in markeng and sales spends opmisaons. The segment wise lifeme

value will help us in calculang profitable customer segments and help increase the sales.

Customer Life me Value for one of our brewery Customer



2. Human Resource Soluons

2.1 Recruitment Opmisaon

Organisaons which hired people who resonate their culture were far more successful than the

organisaons hired people on just competency mapping. The score card creaon on every factors

which include experse, cultural and socio economic factors and personal aribute profiling help

in fing people into organisaonal culture.

We use predicve analycs and cluster factoring to arrive a culture of the organisaon.



1.2 Segmentaon

The customers are segmented into mulple factors which have direct influence on buying

behaviour. It helps us in determining the actual buying behaviours and its percentage influences.

The socio economic factors like economic mobility are all taken into account and the target

customers are so precise that organisaons just need to help customers buy products rather than

push sales.

Segmentaon for our Brewery Client

1.3 Campaign Management

Targets sales specific data towards high likelihood customers. This helps in increasing upselling and

cross selling maximisaons. Opmised spend in terms of sales per customer and high returns in

terms of revenue per customer.



2.2 Job Hygiene Management

Producvity always will be lower in an unhealthy work environment. Employees who in general are

not very happy about things around might passively contribute to negave hygiene factors. Once

factors are determined they can be migated and make the overall environment beer. That not

only increases producvity but also the output will be of higher standard. Predicve analycs again

helps us in mapping all the factors and devise management methods to it.

2.3 Arion Management

Ascertaining factors that influence arion overall and specific to task types will help us idenfying

grey areas in organisaons that influence employee resentment. Predicve analycs helps us in

benchmarking and analysing factors mathemacally the impact in varied terms. This helps in

lowering arion and improving employee sasfacon.

3. Operaons

3.1 Vendor Management

Vendors are tough to manage especially when they are spread across large geographies. Vendor

arion is a major issue which impacts business on delivery. Vendor performance is another pain

point for supplier based organisaons. We build in mathemacal models which predict vendor

arion and help in minimising vendor arion and vendor management. Factors ranging from

vendor profitability to vendor socio economic factors are analysed to bring in desired results.

3.2 Supply Chain Opmisaon- Transportaon and Benchmarking

Roung opmisaons in terms of me and cost in a repeve processes and also seasonal process-

es. Breaking down clusters and building efficiency parameters to benchmark with each other.

Reverse logiscs and returns logisc opmisaon. Using mulple logic and algorithms helps us in

building most efficient supply chain system.

Benchmarking also will be extended to producon facilies to improve producve processes.



4. Predicve Analycs

4.1 Real Time Forecasng

Regression models based on historical parameters in real me helps in forecasng any parameter.

Mulvariate analysis is used for parameters dependent on mulple factors and at a rao relevant.

With dashboard and visual data we could help organisaons to plan for future.



4.2 Probabilisc Forecasng Instances like risk and fraud is an independent occurrences and has no relaon to one another.

But with probabilisc models we can measure risk and help companies to prepare for any

eventuality using probabilisc models.

Dashboard Metrics

Some of the dashboard and metrics for our clients

Visual dashboards on metrics which maers to businesses will not only help in faster decision

making but also have a compeve advantage in terms of beer products and services.



Breakdown of the business process and building meaningful metrics and clustering all metrics

helps in micromanagement of businesses even in remote. Appropriate alert systems will make the

system interacve and robust that help organisaons to intervene mely.

PPTS – Dash Board



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Big Data Analytics India - Torqeye