TRUTH. SIMPLICITY. SCALE.

YOU MUST FUNDAMENTALLYCHANGE THE PROCESS

TO ACHIEVE MASSIVE RESULTS

+ ≠

INCREMENTAL IMPROVEMENTONLY WORKS SO FAR…

THE PROCESS OF ANALYZING DATAIS INEFFICIENT AND CAN BE FUNDAMENTALLY

OVERHAULED

ACCENTURE: SERVING THE NON-STOP CUSTOMER

Source: Accenture, October 2012

ACCENTURE’S NON-STOP CUSTOMER EXPERIENCE MODEL REDEFINES CUSTOMER

INTERACTION

• Digital technologies are

driving this change

• Customers no longer enter

a channel but are

continuously in the channel

• Transactional, dynamic,

experimental

• UNPREDICTABLE

Analytics are Getting More Complex

• The data is first translated using a tool like

Informatica and then stored in a Data Warehouse.

• The contextual relationship is NOT defined, and

the transactions are NOT established.

• Financial reporting is stable & predictable.• Does not require access to real time data.

• This process works well.

Sophisticated data and modeling

tools are used to create models,

infer context and create enhanced

data sets.

The Data Warehouse stores

massive amounts of different

data – but it’s not storing

contextual, transactional data.

DATATOOLS (ETL)

FINANCE

MARKETING

MobileApp Database

E-CommerceApp Database

Call CenterApp Database

Retail BranchApp Database

DATAWAREHOUSE

DATA &MODELING

TOOLS

DATAWAREHOUSE

OPS

TODAY’S ANALYTICS PROCESS (TXNs & CONTEXT - AFTER)

ENTERPRISEAPPLICATION

DATAENHANCEDDATA SETS

The Marketing team wants to analyze data that

flows through the applications, but is not stored

anywhere.

3

Marketing wants to analyze data that is already

captured by the application, but is not stored in

the data warehouse.

2

Marketing wants to analyze data that is not

being stored in the enhanced data set, but is

being stored in the data warehouse.

1

DATATOOLS (ETL)

FINANCE

MARKETING

MobileApp Database

E-CommerceApp Database

Call CenterApp Database

Retail BranchApp Database

DATAWAREHOUSE

DATA &MODELING

TOOLS

OPS

TODAY’S ANALYTICS PROCESS (TXNs & CONTEXT - AFTER)

ENTERPRISEAPPLICATION

DATAENHANCEDDATA SETS

WHY IS THE TRADITIONAL ANALYTICS PROCESS FLAWED?

THESE PROJECTS COST SO MUCH TIME & MONEY

WE OFTEN JUST GIVE UP

Problem Time To Fix

Data not in enhanced data set 5 Days

Data not in data warehouse 1 – 3 Months

Data not in application database 3 – 12 Months3

2

1

THIS PROCESS IS RIPEFOR A FUNDAMENTAL OVERHAUL

BECAUSE OF THE WAY APPLICATIONS STORE DATA

+ ≠

REAL-TIME TRANSACTIONAL ANALYTICS - WITH OPTIER

ENTERPRISEAPPLICATION

DATA

DATATOOLS (ETL)

MobileApp Database

E-CommerceApp Database

Call CenterApp Database

Retail BranchApp Database

DATAWAREHOUSE

DATA &MODELING

TOOLS

ENHANCEDDATA SETS

FINANCE

MARKETING

OPS

User Transaction

Web Server Authentication

Application Server

Message Bus, ESB

Middleware Server

Data Base

Mainframe

The end-user initiates a transaction, such as checking

their bank balance.

User TransactionEach transaction is uniquely tagged so useful

transactional data can be collected as it flows

through your architecture.

Web Server Authentication

Application Server

Message Bus, ESB

Middleware Server

Data Base

Data is collected at each step of the transaction. This

granular approach enables us to pinpoint and resolve

problems quickly and predict potential problems.

Mainframe

Active Context Tracking

Each piece of data is put into context to deliver useful

real-time analytics. This unique and powerful concept

is at the heart of OpTier’s technology. 3rd Party Web Services3rd Party Web Services

Data is collected at each step of the transaction.

OpTier Real-time business

transactional dataset

OPTIER’S PATENTED TECHNOLOGY COLLECTS DATA WHILE TRANSACTIONS

RUN, WITHOUT CHANGING APPLICATIONS

CASSANDRADATABASE

WE DO THIS MILLIONS OF TIMES A DAY FOR THE WORLD’S BIGGEST COMPANIES

Marketing wants to analyze data

not saved by applications.

3

Marketing wants to analyze data that applications

process but not saved in Cassandra.

2

REAL-TIME TRANSACTIONAL ANALYTICS - WITH OPTIER

ENTERPRISEAPPLICATION

DATA

MobileApp Database

E-CommerceApp Database

Call CenterApp Database

Retail BranchApp Database

DATAWAREHOUSE

DATATOOLS (ETL)

CASSANDRADATABASE

Marketing wants to analyze data that’s not

being stored in the enhanced data set but is in

the data warehouse.

1

CASSANDRADATABASE

ENHANCEDDATA SETS

FINANCE

MARKETING

OPS

DATA &MODELING

TOOLS

OpTier

1. Capture Transactions & Create contextual data in near-

real time using proven technology.

2. Decrease the reliance on ETL tools.

3. Leverage power & economics of Cassandra.

OpTier has created a code-free drag and drop

tool that empowers Business Analysts to Actively

engage in analytics and visualization – without

time-consuming & expensive IT Projects.

CREATES MASSIVE VALUE

Problem Time To Fix

Data not in enhanced data set 5 Days

Data not in data warehouse 1 – 3 Months

Data not in application database 3 – 12 Months3

2

1 ____1 Hour

______1 - 2 Days

_______1 - 2 Days

REAL-TIME TRANSACTIONAL ANALYTICS - WITH OPTIER

REAL-TIME TRANSACTIONAL ANALYTICS:WHY IS THIS IMPORTANT?

1 Supports routine changes & net-new business requests quickly - without IT involvement.

2 Deliver complex analytics – in days or weeks (not years). Reduces “Big-Bang” Project risk.

3 Saves huge amounts of money. Easier to start now and get results sooner.

TRUTH. SIMPLICITY. SCALE.