Getting the most out of big data

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Getting the most out of big data"

Transcription

1 IBM Software White Paper Financial Services Getting the most out of big data How banks can gain fresh customer insight with new big data capabilities

2 2 Getting the most out of big data Banks thrive on data: transactions, customer interactions, mortgage rate changes, risk assessments and investment portfolios. They analyze the data for trends, patterns and insights to help boost efficiency, ensure compliance or increase revenue. But not all of this data lives conveniently in a structured database or data warehouse. Sometimes it comes from real-time data feeds and social media. Or it may come from customer correspondence, written reports and spreadsheets. The challenge for the banking industry today is to combine and analyze these growing sources of structured and unstructured data, known as big data. Big data is often characterized as having three dimensions: volume, velocity and variety. A fourth V, veracity that is, the credibility of the data applies to the banking industry in particular. When properly analyzed, big data offers many potential benefits for insight in the banking industry. For example, big data helps banks assess customer interactions and experiences. By analyzing each potential source of data, from channel interactions to social media, banks can come to know and understand their customers both individually and demographically, enabling them to better serve their clients. In addition, banks can develop high-quality risk and fraud models by analyzing as much available data as possible to get deeper insight from transactions, events and correspondence. Risk management hinges not only on financial calculations, but also on written analysis of activities not generally reflected in transactional information. Fraud-detection efforts benefit from the ability to analyze streaming transactions in real time and quickly identify potentially illegal credit-card or banking activity. Banks can also optimize processes by analyzing available operational data in real time. The return on an investment in big data, then, becomes apparent in several ways. By applying real-time analytics capabilities to big data, banks can gain insight quickly. These insights help banks improve customer service and response and create targeted offers that can lead to higher acceptance rates helping to increase customer retention. Big data also helps banks comply with industry and government regulations by providing insight into transactions, events and correspondence and identifying where processes need improvement or where compliance might be lacking. Moreover, big data may enable financial institutions to anticipate and prevent fraud by incorporating a higher number of variables into the analysis. Big data in banking: Real-world scenarios In an era of intense competition and market volatility, banks need strategies for getting the most out of data for two key activities customer interaction and liquidity risk management. The following three scenarios show how big data impacts these important aspects of the financial services industry. Next best action To better serve individual customers, banks strive to understand the best way to anticipate their needs. That is, based on one action or event, what is the next best action to offer better service, and cross-sell or up-sell the customer? It could be as simple as suggesting a new car loan several years after the end of a previous loan or a home-equity line after the purchase of a house. It also could be as important as following up in person after receiving a complaint letter or seeing a social media post about a poor banking experience. A quick response can add short-term value to a new customer relationship or enhance a long-term one.

3 Financial Services 3 We were able to dramatically reduce our system support and have achieved over 200 percent efficiency.we have achieved risk-based savings by decreasing our exposure and have found correlations that we couldn t have before. We can now look further and deeper into our data. Emile Werr Vice President Global Data Services NYSE Euronext

4 4 Getting the most out of big data Banks encounter several challenges while trying to build relationships and improve customer service. Frequently, they cannot cost-effectively capture, analyze and store the large amounts of incoming data, and customer-facing employees do not have access to the right data at the right time. However, to anticipate and execute timely, personalized interactions, banks need deep insight into the customer experience, both on an individual basis and in an aggregated format to accommodate demographic behavior. For instance, by analyzing the behavior of the top 10 percent of account holders by amount, banks can determine other services that group might want or specific services they can use in an up-sell offer for the next percentile of account holders. Banks also need to aggregate unstructured data, such as social media, and customer service notes, to quickly respond to issues before they negatively impact customer relationships. With this kind of insight, banks can optimize operational models that predict what the next best action should be. Big data offers inherent payoffs for next best action scenarios. A big data infrastructure that enables near-realtime, customized responses helps banks increase customer satisfaction with each interaction which over time helps improve up-sell, cross-sell and retention efforts and incrementally build a customer s strategic lifetime value, profitability and loyalty. Using these business results, banks can deliver next best action recommendations across their lines of business and into their channels and touch points in real time. Beyond the customer: Other applications of big data in the financial services industry Big data offers insight into more than just customer behavior. Banks have deployed IBM solutions for big data to analyze and model data streams for exceptional real-time decision support. Analytics on data in motion help banks track financial resources and predict, detect and respond to fraud in real time. Organizations can also use these insights to optimize operational processes, which helps increase efficiency, lower costs and boost responsiveness. Not only does big data help banks analyze what has already happened, it can help them discern what is likely to happen through predictive analytics. By incorporating sources of data that may not have been previously leveraged, such as customer behavior and contact center free-form notes, banks can help improve the accuracy of predictions leading to clearer insight and more confident decision making. Customer insight and retention The ability to save a customer relationship is just as important as the ability to up-sell or cross-sell. It is generally less expensive to service a current customer than to acquire a new one, so banks must identify which customers are most at risk of terminating their relationships. Deep customer insight helps reveal what customer service initiatives or proactive offers work best to avoid churn.

5 Financial Services 5 To achieve this, banks have to identify attitudes or clues that lead to customer attrition. It is crucial to identify high-value customers and understand their needs, because they are frequently the most profitable clients and are the ones most likely to maintain a long-term relationship. The right big data solution helps pinpoint these customers preferences and measure customer profitability accurately. In fact, by analyzing more data from multiple sources, big data can help uncover new trends and additional customer insights in other critical areas. For instance, it can help identify trends and patterns to create the foundation for a customer retention campaign. And by enriching predictive models with more granular data, banks can make targeted offers that customers would be more likely to accept. With high-quality data and detailed analysis, banks can create highly targeted micro-segmentation that facilitates personalized offers and drives high customer satisfaction. IBM big data platform in action: Global stock exchange Even as stock transaction volume increases, stock exchanges are still responsible for identifying patterns of illegal or potentially fraudulent trading. To detect patterns that could indicate questionable trading activity amid a soaring number of transactions, securities markets not only need processing power, but also the flexibility to incorporate new algorithms that can spot new risks emerging before they can do damage. One prominent global stock exchange found it increasingly difficult to meet its mandate in a timely manner. Its surveillance experts were constrained in their ability to run detection algorithms, often having to spend time breaking up and fine-tuning their queries instead of developing and testing ever-more powerful and insight-producing algorithms to better detect questionable trading activity. To help expedite its investigations, the exchange used the IBM platform for big data to develop powerful market surveillance tools to detect patterns within a number of daily trades that can exceed 15 billion. The exchange s new market surveillance platform both sped up and simplified the processes its experts used to analyze patterns within these trades. With less-complex processes and more powerful analytics engines, the exchange gained the flexibility to design and test increasingly insightful algorithms that can spot, for example, new methods of insider trading or the telltale signs of market manipulation. Overall, the platform produced a variety of benefits: Reduced the time required to run market surveillance algorithms by more than 99 percent Decreased the number of IT resources required to support the solution by more than 35 percent Improved the ability of compliance personnel to detect suspicious patterns of trading activity and to take investigative action early The result: as the exchange s trading volume grows and becomes more globalized, its analytics capabilities help ensure a level playing field for all investors.

6 6 Getting the most out of big data Risk management One of the key metrics banks monitor on a daily basis is their intraday liquidity; it strongly correlates to their economic stability and growth potential. To track this metric as quickly and efficiently as possible that is, with minimal human intervention banks are increasingly taking advantage of technical approaches that incorporate a breadth of data and automated collection techniques. By capturing, storing and analyzing the massive amounts of data necessary to feed regulatory reports, risk dashboards and early-warning systems, as well as to generate the analytics required to quantify and predict liquidity risk, banks can clearly gauge their ongoing stability. Bringing together all of the appropriate information to create highly optimized risk models is a challenge that involves identifying and integrating large amounts of unstructured risk data in a variety of forms and data sources, and then making it available to complex, high-volume computational processes. The potential payoff: fast and secure risk analytics that enable efficient management of cash and collateral used to support intraday payment and settlement obligations. Equally important is the ability to use these same precepts to identify other types of risk, including credit-card fraud and loan exposure. IBM solutions for big data IBM has developed an extensive collection of tools to help banks cut big data challenges down to size: IBM InfoSphere Data Explorer: Discovery and navigation software (previously known as the Vivisimo Velocity Platform) that provides real-time access and fusion of big data with rich and varied data from enterprise applications for greater insight and ROI. IBM InfoSphere BigInsights : An enterprise-ready Apache Hadoop based system with sophisticated text analytics, visualization, performance, security and administrative features for managing and analyzing massive volumes of structured and unstructured data. IBM InfoSphere Streams: In-motion streaming analytics software that enables continuous analysis of massive volumes of streaming data with sub-millisecond response times, helping to improve your organization s level of insight and decision making, as well as promoting real-time response to events as they happen. IBM Netezza : High-performance data warehouse appliances that are purpose-built to make advanced analytics on exploding data volumes simple, fast and accessible; uses advanced analytics to deliver deep insights in minutes on petabyte-scale volumes of relational data. IBM InfoSphere Warehouse: Comprehensive data warehouse software platform that delivers access to structured and unstructured information in real time; supports operational analytics and applications with up-to-theminute insights. IBM InfoSphere Information Server: A complete collection of data integration and data quality capabilities that help ensure delivery of trusted information; enables organizations to understand, cleanse, transform and deliver trusted information to critical business initiatives by integrating big data across enterprise IT systems. IBM InfoSphere Master Data Management: Creates trusted views of master data about customers, products and more, and provides a centralized data source that promotes accuracy and data quality to help improve your applications and business processes. Not all of these tools are required for every big data installation, but they cover the spectrum of potential needs for most banks.

7 Financial Services 7 Harness big data for exceptional insight With the rapidly increasing importance and volume of structured and unstructured data, the ability to store, analyze, search and understand this resource becomes even more integral to a bank s day-to-day operations. By deploying IBM solutions for big data, banks can capture large volumes of data from a variety of data sources and types relating to their customers, including transactions, correspondence, social media, voice recordings, web clicks and transactional information across multiple channels. As they strive to increase customer intimacy through mobile solutions, banks will receive more data relating to geo-location and presence, which may uncover even greater customer insight. In essence, big data helps banks combine qualitative and quantitative information beyond transactions to give them a clear, insightful view of their customers at the individual and group levels. Such insight is essential for improving customer service and customer retention, and supporting a range of ongoing strategic initiatives such as fraud prevention, as well as proactive campaign and resource planning. The IBM platform for big data enables banks to leverage new and optimized technology within a larger ecosystem, combining an organization s existing assets that deliver value and differentiated services with new assets that deliver stronger or new capabilities. It also helps simplify and accelerate the delivery of analytics, allowing IT departments to move workloads to the most appropriate location and to further optimize the analytical architecture. The right data and data analysis tools can create a strong competitive advantage in a highly competitive industry. Using these tools, banks can analyze data in real time to gain crucial insight without storing excessive data in databases or data warehouses. IBM big data solutions help banks understand which data is most important and which data contributes to the precise insight necessary to attract and retain customers, improve their financial standing and heighten their ability to respond to industry changes and fast-moving competitors.

8 For more information To learn more about IBM solutions for big data and the financial industry, please contact your IBM representative or IBM Business Partner, or visit: ibm.com/bigdata ibm.com/software/data/infosphere/bigdata-analytics.html Copyright IBM Corporation 2012 IBM Corporation Software Group Route 100 Somers, NY Produced in the United States of America October 2012 IBM, the IBM logo, ibm.com, BigInsights and InfoSphere are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at Copyright and trademark information at ibm.com/legal/ copytrade.shtml Netezza is a trademark or registered trademark of IBM International Group B.V., an IBM Company. VELOCITY and VIVISIMO are trademarks or registered trademarks of Vivisimo, an IBM Company. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. The performance data and client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. THE INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON- INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided. The client is responsible for ensuring compliance with laws and regulations applicable to it. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the client is in compliance with any law or regulation. Statements regarding IBM s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Please Recycle IMW14653-USEN-00

A financial software company

A financial software company A financial software company Projecting USD10 million revenue lift with the IBM Netezza data warehouse appliance Overview The need A financial software company sought to analyze customer engagements to

More information

Delivering new insights and value to consumer products companies through big data

Delivering new insights and value to consumer products companies through big data IBM Software White Paper Consumer Products Delivering new insights and value to consumer products companies through big data 2 Delivering new insights and value to consumer products companies through big

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software Business Analytics IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster 2 Solve your toughest challenges with data mining

More information

Achieving customer loyalty with customer analytics

Achieving customer loyalty with customer analytics IBM Software Business Analytics Customer Analytics Achieving customer loyalty with customer analytics 2 Achieving customer loyalty with customer analytics Contents 2 Overview 3 Using satisfaction to drive

More information

IBM Analytical Decision Management

IBM Analytical Decision Management IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you

More information

Predictive analytics with System z

Predictive analytics with System z Predictive analytics with System z Faster, broader, more cost effective access to critical insights Highlights Optimizes high-velocity decisions that can consistently generate real business results Integrates

More information

Addressing government challenges with big data analytics

Addressing government challenges with big data analytics IBM Software White Paper Government Addressing government challenges with big data analytics 2 Addressing government challenges with big data analytics Contents 2 Introduction 4 How big data analytics

More information

Harnessing big data for healthcare

Harnessing big data for healthcare Harnessing big data for healthcare Build a strong foundation for breakaway analytics capabilities with IBM solutions Highlights Gain greater insight and actionable intelligence by applying big data technology

More information

Smarter digital banking with big data

Smarter digital banking with big data IBM Software White Paper Financial Services Smarter digital banking with big data Transform customer relationships and improve profitability 2 Smarter digital banking with big data Contents 2 Introduction

More information

IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse

IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse IBM Analytics Just the facts: Four critical concepts for planning the logical data warehouse 1 2 3 4 5 6 Introduction Complexity Speed is businessfriendly Cost reduction is crucial Analytics: The key to

More information

Maximize customer value and reduce costs and risk

Maximize customer value and reduce costs and risk Maximize customer value and reduce costs and risk companies around the world face the same challenges: How can they lower costs while increasing profitability? Improve efficiency? Identify, attract and

More information

Transforming customer service with business analytics

Transforming customer service with business analytics IBM Software Business Analytics Customer Service Transforming customer service with business analytics 2 Transforming customer service with business analytics Contents 2 Overview 2 Customer service is

More information

Three proven methods to achieve a higher ROI from data mining

Three proven methods to achieve a higher ROI from data mining IBM SPSS Modeler Three proven methods to achieve a higher ROI from data mining Take your business results to the next level Highlights: Incorporate additional types of data in your predictive models By

More information

IBM Software Cloud service delivery and management

IBM Software Cloud service delivery and management IBM Software Cloud service delivery and management Rethink IT. Reinvent business. 2 Cloud service delivery and management Virtually unparalleled change and complexity On this increasingly instrumented,

More information

Solve Your Toughest Challenges with Data Mining

Solve Your Toughest Challenges with Data Mining IBM Software Business Analytics IBM SPSS Modeler Solve Your Toughest Challenges with Data Mining Use predictive intelligence to make good decisions faster Solve Your Toughest Challenges with Data Mining

More information

Insurance customer retention and growth

Insurance customer retention and growth IBM Software Group White Paper Insurance Insurance customer retention and growth Leveraging business analytics to retain existing customers and cross-sell and up-sell insurance policies 2 Insurance customer

More information

Predictive Analytics for Donor Management

Predictive Analytics for Donor Management IBM Software Business Analytics IBM SPSS Predictive Analytics Predictive Analytics for Donor Management Predictive Analytics for Donor Management Contents 2 Overview 3 The challenges of donor management

More information

Optimize data management for. smarter banking and financial markets

Optimize data management for. smarter banking and financial markets Optimize data management for smarter banking and financial markets 2 Flexibility, transparency, quick response times: Are you ready for the new financial environment? 1 2 and profitability Meeting customer

More information

Social Business Analytics

Social Business Analytics IBM Software Business Analytics Social Analytics Social Business Analytics Gaining business value from social media 2 Social Business Analytics Contents 2 Overview 3 Analytics as a competitive advantage

More information

Big data: New insights transform industries

Big data: New insights transform industries IBM Software White Paper Smarter Analytics Big data: New insights transform industries 2 Big data: New insights transform industries Contents 3 What s new in big data? 3 Know and serve customers as individuals,

More information

IBM System x reference architecture solutions for big data

IBM System x reference architecture solutions for big data IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,

More information

IBM Business Analytics: Finance and Integrated Risk Management (FIRM) solution

IBM Business Analytics: Finance and Integrated Risk Management (FIRM) solution IBM Sales and Distribution Solution Brief Banking IBM Business Analytics: Finance and Integrated Risk Management (FIRM) solution Risk transparency across the enterprise 2 IBM Business Analytics: Finance

More information

IBM Coremetrics Web Analytics

IBM Coremetrics Web Analytics IBM Coremetrics Web Analytics Analytics to power digital marketing optimization and execution Highlights Real-time Key Performance Indicators (KPIs) suitable for marketers from finance, retail, content

More information

IBM InfoSphere: Solutions for retail

IBM InfoSphere: Solutions for retail IBM Software Solution Brief IBM InfoSphere: Solutions for retail Build a single view of customer information and a trusted source for product information with data integration and master data management

More information

Optimizing government and insurance claims management with IBM Case Manager

Optimizing government and insurance claims management with IBM Case Manager Enterprise Content Management Optimizing government and insurance claims management with IBM Case Manager Apply advanced case management capabilities from IBM to help ensure successful outcomes Highlights

More information

IBM Social Media Analytics

IBM Social Media Analytics IBM Analyze social media data to improve business outcomes Highlights Grow your business by understanding consumer sentiment and optimizing marketing campaigns. Make better decisions and strategies across

More information

Five predictive imperatives for maximizing customer value

Five predictive imperatives for maximizing customer value Five predictive imperatives for maximizing customer value Applying predictive analytics to enhance customer relationship management Contents: 1 Introduction 4 The five predictive imperatives 13 Products

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM IBM Global Business Services Microsoft Dynamics CRM solutions from IBM Power your productivity 2 Microsoft Dynamics CRM solutions from IBM Highlights Win more deals by spending more time on selling and

More information

5 tips to engage your customers with event-based marketing

5 tips to engage your customers with event-based marketing IBM Software Thought Leadership White Paper IBM ExperienceOne 5 tips to engage your customers with event-based marketing Take advantage of moments that matter with in-depth insight into customer behavior

More information

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management : Powerful and scalable business intelligence and performance management Highlights Arm every user with the analytics they need to act Support the way that users want to work with their analytics Meet

More information

Three Ways to Improve Claims Management with Business Analytics

Three Ways to Improve Claims Management with Business Analytics IBM Software Business Analytics Insurance Three Ways to Improve Claims Management with Business Analytics Three Ways to Improve Claims Management Overview Filing a claim is perhaps the single most important

More information

IBM Software Hadoop in the cloud

IBM Software Hadoop in the cloud IBM Software Hadoop in the cloud Leverage big data analytics easily and cost-effectively with IBM InfoSphere 1 2 3 4 5 Introduction Cloud and analytics: The new growth engine Enhancing Hadoop in the cloud

More information

Solutions for Communications with IBM Netezza Network Analytics Accelerator

Solutions for Communications with IBM Netezza Network Analytics Accelerator Solutions for Communications with IBM Netezza Analytics Accelerator The all-in-one network intelligence appliance for the telecommunications industry Highlights The Analytics Accelerator combines speed,

More information

Strengthen security with intelligent identity and access management

Strengthen security with intelligent identity and access management Strengthen security with intelligent identity and access management IBM Security solutions help safeguard user access, boost compliance and mitigate insider threats Highlights Enable business managers

More information

Tapping the power of big data for the oil and gas industry

Tapping the power of big data for the oil and gas industry IBM Software White Paper Petroleum Industry Tapping the power of big data for the oil and gas industry 2 Tapping the power of big data for the oil and gas industry The petroleum industry is no stranger

More information

BLACKICE ERA and PureData System for Analytics

BLACKICE ERA and PureData System for Analytics BLACKICE ERA and PureData System for Analytics Address new and evolving regulations and best practices Highlights Utilize 120+ best practices reports in Cognos and Excel; prepackaged and complete with

More information

Increasing marketing campaign profitability with Predictive Analytics

Increasing marketing campaign profitability with Predictive Analytics Increasing marketing campaign profitability with Predictive Analytics Highlights: Achieve better campaign results without increasing staff or budget Enhance your CRM by creating personalized campaigns

More information

Manage student performance in real time

Manage student performance in real time Manage student performance in real time Predict better academic outcomes with IBM Predictive Analytics for Student Performance Highlights Primary and secondary school districts nationwide are looking for

More information

Business Analytics for Big Data

Business Analytics for Big Data IBM Software Business Analytics Big Data Business Analytics for Big Data Unlock value to fuel performance 2 Business Analytics for Big Data Contents 2 Introduction 3 Extracting insights from big data 4

More information

IBM Coremetrics Web Analytics

IBM Coremetrics Web Analytics IBM Coremetrics Web Analytics Analytics to power digital marketing optimization and execution Highlights Real-time Key Performance Indicators (KPIs) suitable for marketers from finance, retail, content

More information

The IBM Cognos family

The IBM Cognos family IBM Software Business Analytics Cognos software The IBM Cognos family Analytics in the hands of everyone who needs it The IBM Cognos family Overview Business intelligence (BI) and business analytics have

More information

Harnessing the power of advanced analytics with IBM Netezza

Harnessing the power of advanced analytics with IBM Netezza IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced

More information

An Oracle White Paper October 2010. Siebel Financial Services Customer Relationship Management for Banking

An Oracle White Paper October 2010. Siebel Financial Services Customer Relationship Management for Banking An Oracle White Paper October 2010 Siebel Financial Services Customer Relationship Management for Banking Executive Overview Banks are in constant interaction with customers. A winning and proven strategy

More information

Business analytics for insurance

Business analytics for insurance IBM Software Business Analytics Insurance Business analytics for insurance Four ways insurers are winning with analytics 2 Business analytics for insurance Contents 2 Overview 3 Business analytics defined

More information

Smarter Energy: optimizing and integrating renewable energy resources

Smarter Energy: optimizing and integrating renewable energy resources IBM Sales and Distribution Energy & Utilities Thought Leadership White Paper Smarter Energy: optimizing and integrating renewable energy resources Enabling industrial-scale renewable energy generation

More information

Better planning and forecasting with IBM Predictive Analytics

Better planning and forecasting with IBM Predictive Analytics IBM Software Business Analytics SPSS Predictive Analytics Better planning and forecasting with IBM Predictive Analytics Using IBM Cognos TM1 with IBM SPSS Predictive Analytics to build better plans and

More information

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics Independently explore, visualize, model and share insights without IT assistance Highlights Explore, analyze, visualize and share your insights independently, without relying on IT for assistance. Work

More information

IBM Software Wrangling big data: Fundamentals of data lifecycle management

IBM Software Wrangling big data: Fundamentals of data lifecycle management IBM Software Wrangling big data: Fundamentals of data management How to maintain data integrity across production and archived data Wrangling big data: Fundamentals of data management 1 2 3 4 5 6 Introduction

More information

IBM Customer Experience Suite and Predictive Analytics

IBM Customer Experience Suite and Predictive Analytics IBM Customer Experience Suite and Predictive Analytics Introduction to the IBM Customer Experience Suite In order to help customers meet their exceptional web experience goals in the most efficient and

More information

Improving claims management outcomes with predictive analytics

Improving claims management outcomes with predictive analytics Improving claims management outcomes with predictive analytics Contents: 1 Executive Summary 2 Introduction 3 Predictive Analytics Defined 3 Proven ROI from Predictive Analytics 4 Improving Decisions in

More information

IBM Predictive Analytics Solutions for Education

IBM Predictive Analytics Solutions for Education IBM Software White Paper Business Analytics IBM Predictive Analytics Solutions for Education Empower your institution to make the right decision every time 2 IBM Predictive Analytics Solutions for Education

More information

IBM SmartCloud for Service Providers

IBM SmartCloud for Service Providers IBM SmartCloud for Service Providers Launch new cloud services simply and quickly to increase revenue Highlights Offers a pre-integrated, pre-configured, building-block approach to cloud services delivery

More information

IBM Content Analytics with Enterprise Search, Version 3.0

IBM Content Analytics with Enterprise Search, Version 3.0 IBM Content Analytics with Enterprise Search, Version 3.0 Highlights Enables greater accuracy and control over information with sophisticated natural language processing capabilities to deliver the right

More information

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve

More information

IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems

IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems Proactively address regulatory compliance requirements and protect sensitive data in real time Highlights Monitor and audit data activity

More information

The top 10 secrets to using data mining to succeed at CRM

The top 10 secrets to using data mining to succeed at CRM The top 10 secrets to using data mining to succeed at CRM Discover proven strategies and best practices Highlights: Plan and execute successful data mining projects using IBM SPSS Modeler. Understand the

More information

IBM Master Data Management strategy

IBM Master Data Management strategy June 2008 IBM Master Data Management strategy Leveraging critical data to accomplish strategic business objectives Page 2 Contents 3 The IBM Master Data Management strategy 5 IBM InfoSphere MDM Server

More information

BANKING ON CUSTOMER BEHAVIOR

BANKING ON CUSTOMER BEHAVIOR BANKING ON CUSTOMER BEHAVIOR How customer data analytics are helping banks grow revenue, improve products, and reduce risk In the face of changing economies and regulatory pressures, retail banks are looking

More information

Managing all your customer interactions Ambit CustomerConnect

Managing all your customer interactions Ambit CustomerConnect RETAIL BANKING Customer Management Human. PRODUCT SHEET Managing all your customer interactions Ambit CustomerConnect SunGard s Ambit CustomerConnect provides banks with an integrated, centralized solution

More information

IBM Algo Asset Liability Management

IBM Algo Asset Liability Management IBM Algo Asset Liability Management Industry-leading asset and liability management solution for the enterprise Highlights The fast-paced world of global markets presents asset and liability professionals

More information

Beyond listening Driving better decisions with business intelligence from social sources

Beyond listening Driving better decisions with business intelligence from social sources Beyond listening Driving better decisions with business intelligence from social sources From insight to action with IBM Social Media Analytics State of the Union Opinions prevail on the Internet Social

More information

ramyam E x p e r i e n c e Y o u r C u s t o m e r s D e l i g h t Ramyam is a Customer Experience Management Company Intelligence Lab

ramyam E x p e r i e n c e Y o u r C u s t o m e r s D e l i g h t Ramyam is a Customer Experience Management Company Intelligence Lab ramyam Intelligence Lab E x p e r i e n c e Y o u r C u s t o m e r s D e l i g h t Ramyam is a Customer Experience Management Company enliven CEM An enterprise grade Customer Experience Management Solu

More information

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data SOLUTION BRIEF Understanding Your Customer Journey by Extending Adobe Analytics with Big Data Business Challenge Today s digital marketing teams are overwhelmed by the volume and variety of customer interaction

More information

Making critical connections: predictive analytics in government

Making critical connections: predictive analytics in government Making critical connections: predictive analytics in government Improve strategic and tactical decision-making Highlights: Support data-driven decisions using IBM SPSS Modeler Reduce fraud, waste and abuse

More information

Build an effective data integration strategy to drive innovation

Build an effective data integration strategy to drive innovation IBM Software Thought Leadership White Paper September 2010 Build an effective data integration strategy to drive innovation Five questions business leaders must ask 2 Build an effective data integration

More information

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK 5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK CUSTOMER JOURNEY Technology is radically transforming the customer journey. Today s customers are more empowered and connected

More information

IBM InfoSphere Optim Test Data Management

IBM InfoSphere Optim Test Data Management IBM InfoSphere Optim Test Data Management Highlights Create referentially intact, right-sized test databases or data warehouses Automate test result comparisons to identify hidden errors and correct defects

More information

IBM Software Group IBM Marketing Center

IBM Software Group IBM Marketing Center IBM Marketing Center Cloud-based, all-in-one solution combining customer analytics with real-time marketing Highlights Execute marketing communications designed for each customer as an individual Draw

More information

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances IBM Software Business Analytics Cognos Business Intelligence IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances 2 IBM Cognos 10: Enhancing query processing performance for

More information

Fiserv. Saving USD8 million in five years and helping banks improve business outcomes using IBM technology. Overview. IBM Software Smarter Computing

Fiserv. Saving USD8 million in five years and helping banks improve business outcomes using IBM technology. Overview. IBM Software Smarter Computing Fiserv Saving USD8 million in five years and helping banks improve business outcomes using IBM technology Overview The need Small and midsize banks and credit unions seek to attract, retain and grow profitable

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

3 Top Big Data Use Cases in Financial Services

3 Top Big Data Use Cases in Financial Services FINANCIAL SERVICES USE CASE EBOOK 3 Top Big Data Use Cases in Financial Services How Financial Services Companies are Gaining Momentum in Big Data Analytics and Getting Results INTRODUCTION Helping Financial

More information

IBM Analytics Make sense of your data

IBM Analytics Make sense of your data Using metadata to understand data in a hybrid environment Table of contents 3 The four pillars 4 7 Trusting your information: A business requirement 7 9 Helping business and IT talk the same language 10

More information

IBM Security Intrusion Prevention Solutions

IBM Security Intrusion Prevention Solutions IBM Security Intrusion Prevention Solutions Sarah Cucuz sarah.cucuz@spyders.ca IBM Software Solution Brief IBM Security intrusion prevention solutions In-depth protection for networks, servers, endpoints

More information

Easily deploy and move enterprise applications in the cloud

Easily deploy and move enterprise applications in the cloud Easily deploy and move enterprise applications in the cloud IBM PureApplication solutions offer a simple way to implement a dynamic hybrid cloud environment 2 Easily deploy and move enterprise applications

More information

IBM Social Media Analytics

IBM Social Media Analytics IBM Social Media Analytics Analyze social media data to better understand your customers and markets Highlights Understand consumer sentiment and optimize marketing campaigns. Improve the customer experience

More information

The Smart Archive strategy from IBM

The Smart Archive strategy from IBM The Smart Archive strategy from IBM IBM s comprehensive, unified, integrated and information-aware archiving strategy Highlights: A smarter approach to archiving Today, almost all processes and information

More information

Continuing the MDM journey

Continuing the MDM journey IBM Software White paper Information Management Continuing the MDM journey Extending from a virtual style to a physical style for master data management 2 Continuing the MDM journey Organizations implement

More information

Network Analytics: Turn Big Data into Big Opportunity

Network Analytics: Turn Big Data into Big Opportunity IBM Software Information Management Network Analytics: Turn Big Data into Big Opportunity Seven Steps for Network Operations, Marketing, Customer Care and IT Network Analytics: Turn Big Data into Big Opportunity

More information

Taking A Proactive Approach To Loyalty & Retention

Taking A Proactive Approach To Loyalty & Retention THE STATE OF Customer Analytics Taking A Proactive Approach To Loyalty & Retention By Kerry Doyle An Exclusive Research Report UBM TechWeb research conducted an online study of 339 marketing professionals

More information

ORACLE SUPPLY CHAIN AND ORDER MANAGEMENT ANALYTICS

ORACLE SUPPLY CHAIN AND ORDER MANAGEMENT ANALYTICS ORACLE SUPPLY CHAIN AND ORDER MANAGEMENT ANALYTICS KEY FEATURES & BENEFITS FOR BUSINESS USERS Provide actionable information to conduct intelligent analysis of orders related to regions, products, periods

More information

Analytics: The real-world use of big data

Analytics: The real-world use of big data Findings from the research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford Analytics: The real-world use of big data How innovative enterprises extract

More information

IBM Software Four steps to a proactive big data security and privacy strategy

IBM Software Four steps to a proactive big data security and privacy strategy Four steps to a proactive big data security and privacy strategy Elevate data security to the boardroom agenda Contents 2 Introduction You ve probably heard the saying Data is the new oil. Just as raw

More information

Customer Relationship Management

Customer Relationship Management IBM Global Business Services CRM Customer Relationship Management Solutions from IBM Global Business Services Do you really know your customers? How do they like to interact with you? How do they use your

More information

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview IBM InfoSphere Master Data Management Server Overview Master data management (MDM) allows organizations to generate business value from their most important information. Managing master data, or key business

More information

OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT

OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT KEY FEATURES Manage leads, configure vehicles, prepare quotes, submit invoice and process orders Capture customer, vehicle and service

More information

Afni deploys predictive analytics to drive milliondollar financial benefits

Afni deploys predictive analytics to drive milliondollar financial benefits Afni deploys predictive analytics to drive milliondollar financial benefits Using a smarter approach to debt recovery to identify the best payers and focus collection efforts Overview The need Afni wanted

More information

A New Era Of Analytic

A New Era Of Analytic Penang egovernment Seminar 2014 A New Era Of Analytic Megat Anuar Idris Head, Project Delivery, Business Analytics & Big Data Agenda Overview of Big Data Case Studies on Big Data Big Data Technology Readiness

More information

IBM Software A Journey to Adaptive MDM

IBM Software A Journey to Adaptive MDM IBM Software A Journey to Adaptive MDM What is Master Data? Why is it Important? A Journey to Adaptive MDM Contents 2 MDM Business Drivers and Business Value 4 MDM is a Journey 7 IBM MDM Portfolio An Adaptive

More information

Content is essential to commerce

Content is essential to commerce Content is essential to commerce IBM ECM helps organizations improve the efficiency of buy, market, sell and service processes Highlights: Analyze customer and operational data and build business processes

More information

IBM i2 Enterprise Insight Analysis for Cyber Analysis

IBM i2 Enterprise Insight Analysis for Cyber Analysis IBM i2 Enterprise Insight Analysis for Cyber Analysis Protect your organization with cyber intelligence Highlights Quickly identify threats, threat actors and hidden connections with multidimensional analytics

More information

Making confident decisions with the full spectrum of analysis capabilities

Making confident decisions with the full spectrum of analysis capabilities IBM Software Business Analytics Analysis Making confident decisions with the full spectrum of analysis capabilities Making confident decisions with the full spectrum of analysis capabilities Contents 2

More information