make smarter decisions with wiseminer

Wiseminer Informática LTDACopyright

Make Smarter DecisionsData Intelligence and Advanced Analytics System

Leonardo CoutoAssociate Partner of Marketing and [email protected]+55 21 9 7295 1422


Big Data! Managing huge volumeof data and information to create value

6 MillionsFacebook pageviews

per minute

1.300new mobile device users

per minute

US$2,8Mper minute of online global

sales (est. 2014)

20new victims of identity theft

per minute

80%of all world data are

unstructured

1 in 2business leaders doesn’t

have access to the data they really need

54%of all corporates are using Big

Data software to gain a competitive advantage

83%of CIO’s have mentioned BI and

Analytics as part of their visionary plan


What problems do we solve?

● Simplify, accelerate and transform the data acquisition, integration and link analysis process

● Improve the productivity and efficiency of IT, business users and business intelligence team

● Provide detailed analytics outputs to support and improve the speed and accuracy of business support decision process

● Reduce companies financial losses with advanced fraud management systems and audit & compliance solutions

● Provide valuable insight that foster the creation of value and competitive advantage

● Solve complex business problems that traditional BI tools cannot


How do we solve it?

Data Intelligence is a rich and semantic way to deal with the raw data to transform data into real value information. It is the capability to analyse various forms of data in such a way that it can be used by companies to expand and improve their services or investments. Companies can also apply data intelligence to analyze data of their own operations or workforce, to improve productivity, and make better business decisions in the future. Business performance, data mining, online analytics, and event processing are all types of data that companies gather and use for data intelligence purposes.

Data Intelligence focuses in the data analysis, a much deeper view and understand of the situation, than a traditional BI tools can deliver. Data Intelligence provide valuable insights to improve companies business decision support and business strategy.


Gartner: Advanced analytical technologies are priority

"While the basic analytical technologies provide a general summary of the data, advanced analytical technologies deliver deeper knowledge of information data and granular data.” - Alexander Linden, Gartner Research Director

The reward of a smarter decision making process, based on Data Intelligence, is a powerful driver to improve overall business performance.

Source: http://cio.com.br/tecnologia/2014/10/29/tecnologias-analiticas-avancadas-sao-prioridade-afirma-gartner/

IT and business leaders must increase their efforts to evolve from traditional BI tools, that focus on descriptive analysis (what happened), to advanced analytical technologies, that can answer questions like “why did it happen”, “what will happen” and “what should I do”.

BITradicional

Data Intelligence


The use of advanced analytical and Big Data solution to prevent and detect fraud is still low

Global companies can lose up to 5% of their revenue due to fraud. The use of advanced analytical solution for Big Data is a powerful tool to combat fraud and corruption.

Source: "Big risks require big data thinking - Global Forensic Data Analytics Survey 2014", da Ernest & Young.

● 466 companies in 11 countries.● High level employees.● 72% believe that emergent big data

and analytical tools can play a key role in fraud prevention and detection.

● Only 7% are aware of any big data and analytical technologies to combat fraud.

● Only 2% are actually taking action and using new technologies to reduce financial losses with fraud, like FDA (Forensic Data Analytics)

Four major points were described as being challenges for companies:

● The access to the most suitable analytical tool to do the job;

● Have the people with the knowledge and skill to conduct analytical interpretation and operate analytical tools;

● The need of a complete review and changes to improve business process;

● The complexity and ability to combine and conduct link analysis of multiple type and sources of data.

The use of advanced analytical technology, and the real-time analysis of data available, would have a direct impact on the effectiveness of how they could synthesize and interpret the risks of fraud and corruption in a timely manner to mitigate financial losses.


To succeed in Data Intelligence projectyou must focus on four pillars

People Knowledge Data (5Vs) Technology

Create value from data requires a lot of talent, from the integration and data preparation to construct databases of specialized computing environments, data mining and intelligent algorithms. "Extract data value is not a trivial task" says Linden. "One of the key elements of any type program 'decipher the data' are the persons who shall have the right skills and capabilities".

Form a multi-disciplinary team with business people, IT and other professionals that are located in key areas of your business.

"Knowledge must be improved, challenged, and increased constantly, or it will simply disappear" - Peter Drucker.

However, to improve and increase knowledge and create insights, the Time Intelligence solutions should be built on top of clear requirements and goals of the business areas, and that will generate a competitive advantage for the company.

Volume: what is the size of the database to be analyzed?

Velocity: what is the speed and frequency that data is generated or updated?

Variety: in which type and format the data is available (related, tabulated, text files, spreadsheets)?

Veracity: is this information real and the source is reliable? Am I sure that this data can be used for the company's to take business decision?

Value: what is the real business value of the data analyzed? Will it bring a competitive advantage, or any other improvement to the company's business?

The analytical tool must be:

Flexible and dynamic: to rapidly adapt analytical model to consumers, clients and market changes.

Reliable and safe: to give managers the confidence to take business decisions, timely and correctly.

Easy to deploy: fast and easy deployment, requires less system and third software integration. User interface friendly and budget affordable.

Keep away from high complexity solutions, known as “framework”. This requires lots of system integration, tons of money, long-term deployments, and often, long term ROI (if any).

Make it simple and keep it simple.


WISEMINER data intelligence software

WISEMINER is an end-to-end data intelligence software that enable companies to:

● Capture: Any sort of data. Transactions, interactions, opinion, data logs, ...

● Analyse: Transform and enrich the data using the graphical and intuitive data flow and data modelling (Link Analysis) interface.

● Predict: Create predictive analytics model based on consistent business rules and neural network. Create real time and predictive alerts based on a sophisticated classification and scoring engine.

● Act: Customized dashboards for business decision support. Ad-hoc changes of data modelling, business rules, classification and scoring enable the business analyst rapidly adapt the whole data model accordingly to any changes in the market, in competition, customer behaviour or any changes that may impact the business decision process.


ANALYSETransform and Enrichment

PREDICTAnalyse and Predict

ACTSmarter Decisions

CAPTUREIdentify and Capture

How does WISEMINER works

Social Network

Financial, market, industry indicators,

any data

Customer data(i.e. CRM)

Data transactions

Data Integration

Data Exploration

Link Analysis

Data & TextMining

Social NetworkAnalysis

Data Transformation and Enrichment

Data Modelling, Entity Relationship

Model

StatisticalAnalysis

Business Rules Neural Network Classification and Scoring

Data Visualization and Dashboards

Process Automation and Scheduling

Management and improve

Business Decision Support System

Regression Analysis

Predictive Modelling

Risk Management

Alarm and Alert for Fraud, Deviation and

Compliance

Competitive Advantage


The problems with traditional BI, in-houseand analytics framework solutions

Little or none flexibility

Less flexible database with predefined and specific layouts to capture and load the data. Changes are complex, timely and costly. Requires highly skilled professionals and consultants, a whole new project and other tons of money!

ExpensiveLong ROI

Less Results

Long term implementation of business intelligence project tend to become obsolete very fast as the market changes are more dynamically and, most of the time blows out the budget. As much of systems integration, programming, customized development and softwares are needed to solve a business problem, more expensive it will get and forget ROI !!!

Complex to Use and Manage

Non user friendly, and complex implementation (such as frameworks) are not easy to use and manage. Requires highly and experienced skilled professionals with programming and statistical knowledge to use and manage the solution with the minimum efficiency.

Due to the high costs, and the complexity, of business intelligence and advanced analytics solutions in the market, many companies are investing time, resources (people) and money to create their own in-house BI and analytics systems. It may be based on database queries, macro-powered spreadsheets, or even using old tools like MS Access. But, this systems has many things in common. Lack of security, high costs to maintain, no programming documentation, lack of support and it doesn’t evolve. Usually it is replaced and becomes a legacy system.

In-House Solutions


What differentiates WISEMINER

Flexibility● Designed to increase the business analyst productivity and respond to any

business needs.● Incremental, ad-hoc, dynamic data modelling to rapidly respond to market

changes and business needs.● No programming needed, at all !!!

End-to-end● Support multiple files format and different database sources.● Link analysis, data integration, predictive analytics, classification and scoring, all

you need in one user interface.● Customized dashboards to answer the needs of many business analysts and

decision makers. ● Automate and schedule any system task, accordingly to business needs.● Create and monitor real time alert for fraud, process deviation and corruption.

Fast ROI● Easy to install and integrate with existing databases and legacy systems.● No programming needed requires less resources, less people.● Easy data integration reduces the need of developing in-house systems to solve

business problems. More secure, controlled and optimized systems.● Easy to use, friendly user interface.● We deliver the answer to business problems on-time and on-budget !!!


BackupMaybe too tech!

*system screenshots in portuguese*


Data load and integrationSystem screenshot


Data Exploration and EnrichmentSystem screenshot


Data Transformation and EnrichmentExample of an e-commerce analysis

Data Model - Data Entity

User

Shopping

Driver License ID

Product

Address Zip

Phone Number

IP Address

Credit Card

Number

Users

Shopping transaction

External Data


Data Entity - Explore N possibilitiesExample of an e-commerce analysis

Data Entity

Related Data Fields

● Insights● Statistics● Aggregations

User

Shopping

Driver License ID

Product

Address Zip

Phone Number

IP Address

Credit Card

Number

How many users used the same IP address?

How many users informed the same phone number as customer contact?

What was the total value of a transaction?

This same credit card number was used before to buy products with different delivery address?


Visualization and DashboardsCustomized to answer business needs


Classification and scoring basedon business rules and predictive model

Scoring

Business rules

Multiple business rules defined by business analysts that, when grouped together, will create the final scoring

May represent:

Risk

Compliance

Quality

ClassificationEtc…

How it works:

Predictive model

Based on neural networks and decision tree algorithms trained using the historical data stored for regression analysis


Creating the historical data repository “Data Images”

Data Data' Data'' Data''' Data''''

Image1

Image2

Image3

Image4

PresentPast

Very useful to analyse customer behaviour, credit concession, fraud and corruption behaviour, prevent and detect non-compliance operations, and compare other historical data with present information.


Task automation and scheduling


Manage, event log and problem determination


System architecture

WISEMINER Service

ModeloModeloModel

Data Entities

Data Images

Connections

Tasks

Jobs

Task Manager

Analytics Engine

Database

Apache Tomcat

Wiseminer Web

Java Web Start

Wiseminer Studio

● Exploration● Management● Dashboards● Analyst Interface

● Data Load● Data Modeling● Explore Data and

Entities relationships● Data Analyst or

StatisticalSystem

Files


Supported Platforms

IBMz/Linux

IBM IFL (Integrated Facility for Linux)SuSE Linux Enterprise Server 11Java 7PostgreSQL 8.4

Intel or AMD microprocessorWindows Server 2003 / 2008 / LinuxJava 7SQL Server / PostgreSQL / Oracle Database

IBM Power 7 / 7+ / 8Red Hat Enterprise Linux 6Java 7PostgreSQL 9.2

Supported Platforms - WISEMINER v4

Clouded or Hosted Services


Thank youFor more information about Wiseminer

please contact us:[email protected]

+55 21 2711 4359

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