Date post: | 17-Jul-2015 |
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Data & Analytics |
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Make Smarter DecisionsData Intelligence and Advanced Analytics System
Leonardo CoutoAssociate Partner of Marketing and [email protected]+55 21 9 7295 1422
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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
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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
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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.
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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
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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.
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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.
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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.
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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
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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
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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 !!!
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BackupMaybe too tech!
*system screenshots in portuguese*
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Data load and integrationSystem screenshot
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Data Exploration and EnrichmentSystem screenshot
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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
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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?
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Visualization and DashboardsCustomized to answer business needs
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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
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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.
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Task automation and scheduling
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Manage, event log and problem determination
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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
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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
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Thank youFor more information about Wiseminer
please contact us:[email protected]
+55 21 2711 4359
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