Smart and proactive decision making is not only an advantage but a key to success of any business. This requires quantitative insights into various business operations and influences. The recent advancements in technology and a significant reduction in data storage costs have given rise to vast and versatile sources of data that provide a wealth of such insights. Harnessing them to accelerate and optimize your business is cardinal for keeping up with the emerging trends.

1. Lera Technologies
Anything and Everything around Data

2. 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
Velocity
B• atch Process
Near Real-Time•
Real-Time•
Diversity
S• tructure transactional data
Unstructured / semi - Structured data•
from social source
Volume
Records in terabytes,•
Petabytes
Data Science Outlook

3. 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.

4. 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

5. 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:

6. 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?
Howmuchcashshouldbemaintainedineachbankbranch
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.

7. 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

8. 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