Lera TechnologiesA n y t h i n g a n d E v e r y t h i n g a r o u n d D a t a

DATA SCIENCE & BUSINESS ANALYTICS

Big Data in Business

LERA delivers analytics capabilities that scale and address a wide range of business cases

and industry challenges. Data Analytics involves using technologies and methods to analyze

data and extract knowledge from them. With Lera’s data analytics services, organizations can

analyze huge volumes of data that conventional analytics and business intelligence

solutions can’t touch.

Industries worldwide are undergoing a radical transformation due to rapidly changing

consumer behaviors and expectations, more stringent regulatory guidelines and a highly

competitive environment. Companies must ensure that they can cost-effectively acquire new

customers while retaining existing ones and also expand their customer reach and

profitability, while optimizing their operations and resources.

Analytics helps to merge and analyze large volumes of business centric data from varied

sources to ensure consistency of data-sets, build mathematical models, perform statistical

analysis and create visualizations to communicate the insights to key stakeholders for

strategic decision-making to achieve an edge over competition.

Big data refers to datasets whose size is beyond the ability of typical database software

tools to capture, store, manage, and analyse.

Sources of Big Data

Financial transactions

Social media streams

Click streams

Internal unstructured data

Application log files

In-stream monitoring

Location based data

Digital/Rich media

VelocityB• atch ProcessNear Real-Time•Real-Time•

DiversityS• tructure transactional dataUnstructured / semi - Structured data •from social source

VolumeRecords in terabytes,•

Petabytes

Data Science Outlook

Lera’s Analytics Overview

Analytics Process Flow

LERA applies an intuitive scientific method to explore and understand the data, which

includes both BI & Analytics. We observe, question, hypothesize, test, and analyze to create

enhanced value. In addition, LERA leverages machine learning and statistics to search

seemingly unrelated data sets. Extracting timely, actionable information in areas such as

sales & marketing, operations, threat intelligence, and fraud, Lera’s data science experts

can help decision makers solve their most important business problems and deliver

enduring results.

Customer Segmentation

Identify precisely who your customers really are, where they are, what their attitudes habits

& preferences are, and help you predict their future behaviour.

Key Insights:

Which products should be introduced, when, where and to whom should we sell them?

Which customers are most likely to respond to which promotions?

Are services and promotions well aligned to the needs of our customers?

Which customers prefer to engage through which media (online, mobile, chat, or face-to-face)?

What impact does loyalty program have on customers’ behavior?

Analytics Offerings

Using Data Analytics, LERA provides firms access to a powerful platform providing both highly

scalable and low cost data storage tightly integrated with scalable processing. Firms are now

able to tackle increasingly complex problems by unlocking the power of their data.

The following is a brief list of Lera’s Analytics offerings across industries.

Fraud Analytics

Enable auditors and fraud examiners to analyze an organization’s business data to gain

insight into how well internal controls are operating and to identify transactions that indicate

fraudulent activity.

Technologies Involved

Risk Analytics

Social Media & Sentiment Analytics

Make risk-aware decisions through smarter enterprise risk analytics and methodologies

- driving business performance and better outcomes.

Key Insights:

Extract and identify subjective information to better understand customer needs, discover

sentiments, predict customer behavior and improve satisfaction.

Key Insights:

How can risk be controlled at the customer and transaction level?

How to optimize capital allocation and qualify for regulatory incentives?

How can cost from credit losses be reduced and operational risk managed?

Which characteristics can be identified that are indicative of people likely to default?

Are customers satisfied with their level of service?

Which customers are most likely to churn, and what will convince them to stay?

Which product features are most valuable to customers, and which are not needed?

What should be done to retain a customer who is considering switching?

What is the best response to new threats from increased access points and complex transactions?

How can you identify the signals left by perpetrators hidden in the daily activity noise?

How to respond to coordinated attacks with consolidated monitoring?

What are the most effective means to detect and prevent threats and fraud before they affect your organization?

Key Insights:

Who are our most profitable customers and what’s their lifetime value?

What processes can be put into place to optimize prices and better project financial performance?

What are the best ways to contain costs without reducing the level and quality of service?

Can we reduce operating costs, perform dynamic budgeting, and improve overall profitability?

Which branches are outperforming and which are underperforming?

Key Insights:

Demand Forecasting

Accurately predict various factors proactively, so as to make better decisions, optimize your

processes and grow your business to the next level.

Key Insights:

What will be the sales figures in the upcoming periods?

How much will be the deposits in the coming months/years?

How much should be the staff size in the future based on current demand and potential demand?

What will be the future levels of past-due loans?

What will be the withdrawal/shopping patterns for individual customers?

How much cash should be maintained in each bank branch and ATMs?

Pricing and Profitability Analytics

Anticipate sales and profit potential specific to aspects across the market such as customer

age groups, geographic regions, or product types.

LERA Technologies is a global IT Solutions and Services Company that offers a wide

array of solutions for a range of key verticals and horizontals pertaining to BFSI since 2003.

LERA is staffed with experienced professionals with the requisite domain expertise. With

a sharp focus in the banking domain, LERA provides end-to-end solutions and services

including implementing core banking systems. LERA has a dedicated Centre of Excellence

with many experienced consultants in banking and analytics related applications. Through

this dedicated Centre of Excellence, LERA has been able to focus its energies into developing

efficient in house solutions which caters to the ever dynamic needs of the banking clients.

About Us

Clientele

Lera Technologies

No. 13, 2nd Floor,

Customs Colony,

Sakthi Nagar, Thuraipakkam,

Chennai,

Tamil Nadu 600097.

Lera Technologies

Plot #1, New SBH Colony,

West Marredpally,

Secunderabad-26,

Telangana.

Tel: +91 40 27700000

Lera Technologies L.L.C.

8727 Fredericksburg Rd,

APT 605,

San Antonio,

TX 78240.

Tel: +1 210 591 7541

Lera Technologies EMEA

229 Arc, Makarios,

3rd Avenue,

Meliza Court, 4th Floor,

Limassol – 3105.

Cyprus.

INDIA USA EUROPE

E-mail: info@leratechnologies.com

Contact Us