Insightful Analytics: Leveraging the data explosion for business optimisation. Top Ten Challenges for Investment Banks 2015
|
|
- Julie Matthews
- 8 years ago
- Views:
Transcription
1 Insightful Analytics: Leveraging the data explosion for business optimisation 09 Top Ten Challenges for Investment Banks 2015 Insightful Analytics: Leveraging the data explosion for business optimisation
2 Insightful Analytics: Leveraging the data explosion for business optimisation The wealth of information and data available to investment banks continues to increase exponentially and, while the scale and frequency of creation presents a challenge for effective data management, it also provides an enormous opportunity for insightful analytics. 09 Analytics can be used to help banks respond to the main drivers currently shaping the industry: regulatory reform, margin pressure, and operational efficiency. Value-adding analytical tools that make greater use of existing big data solutions represent a significant competitive advantage for those banks that can deploy them effectively. The challenge is how to develop effective analytical tools that enable the extraction and visualisation of meaningful conclusions to inform wider business strategy and support day-to-day processing. This also involves getting the right information in front of the right consumers across the organisation, on a timely basis. The data explosion The explosive growth in both structured and unstructured data has captured the attention of capital market firms and vendors, given the variety of valuable information that can be extracted and the myriad of potential uses. Celent estimates that big data spending in capital markets will reach US$1.2 billion in 2013, growing to $2.4 billion by 2015 as firms invest in an effort to leverage the increasingly large data sets for ever more complex solutions. i To date many banks and vendors have focused on existing, underleveraged (mostly historical) data sets, and the first challenge for many is how best to collate and integrate the huge amounts of data now available (see Fig.1): i Big Data in Capital Markets: Expanding the Search for Big Ideas, Celent,
3 Figure 1: Data Preparation Principles Integrate Consolidate data from multiple sources Discover Identify records within a large data store Curate Evaluate and improve quality, trustworthyness & accuracy Align Map data schemes and individual records to a common model Source: Accenture Analytics The right data preparation is therefore vital, but it is only the first step. It is critical that analysts have access to the right tools to cut through the noise in large data sets and identify actionable ideas quickly and often. Demand is now moving beyond platforms designed for routine, industrialised data collection and number crunching, to true data discovery platforms designed to find and visualise the unknown unknowns the hidden insights contained in these Figure 2: From Big Data to Big Outcomes Tagging Patterns Filtering Big Data Discovery Casual Analysis From Big Data Testing Factors & Insights increasingly large data sets. Big data must drive big outcomes (see Fig.2). Smart data cultivated data that can be easily managed and manipulated by business users is one approach that addresses the demand for greater insight. The aim of smart data is simple: to provide quick insight and leverage opportunities to increase business generation proactively, by providing guidance on clients needs based Machine Learning To Big Outcomes Analytics Automation Simulation Execution Decision on prior experience and market conditions. By carrying its lineage and context with it, smart data can also be reused in multiple business contexts. Indeed, it is vital that the analytical, data-driven conclusions gleaned from multiple data sets are made available to all areas of the bank that can potentially use and benefit from them. Certain data sets are in particular demand for banks in response to a specific regulatory pressure or cost-reduction imperative, but the potential applications for business optimisation can range widely depending on the type of data, user groups and the particular business goal (see Fig.3). Adding meaningful insight across the business Within the investment bank, therefore, the potential applications of analytics to support process optimisation and strategic decision making are wide-ranging and varied. While the use of analytics is readily established in some areas, the potential for future developments is significant (see Fig.4). Source: Accenture Research 3
4 It is critical that analysts have access to the right tools to cut through the noise in large data sets and identify actionable ideas quickly and often. From a regulatory perspective, garnering and scrutinising greater quantities of data on individuals behaviour with smarter algorithms will empower a much more proactive and effective approach to detecting misconduct in the front office. Advancements in technologies such as text mining, computational linguistics and Complex-Event Processing (CEP) are also enabling real-time management of conduct risk on the trading floor, often Figure 3: Data usage in the investment bank Reporting Operations Front Office Management Regulators Clients Sales Efficiency Regulatory Customer Strategy Market Transaction Pricing Risk before a prospective rogue event. Compliance departments can use these tools to monitor firm activities and uncover violations. Similarly, new ways of managing and mining data are optimising the Know Your Client (KYC) and anti-money laundering (AML) controls for detection of fraud and malpractice by clients. The aggregation of market and position data, collateral agreements and risk calculations opens up the possibility for real time what-if analysis to identify the cheapest assets to deliver for collateral management purposes. In addition, new suites of advanced visualisation tools will support better decision-making for collateral allocation and inform the front office with richer information on the cost of collateralisation for optimal order and execution management. Advanced data visualisation tools are also providing additional business intelligence by drawing on data from multiple sources and providing a single interface with new levels of granularity in areas of the bank that have previously been opaque. If banks want to predict how prices of securities will evolve, how demand and supply will change for securities (intraday, weekly, monthly, quarterly etc.) or how risk is correlated, they must find the hidden or often unknown correlations between hundreds and thousands of external data streams. Further examples include post-trade analytics on the The aggregation of market and position data, collateral agreements and risk calculations opens up the possibility for real time what-if analysis to identify the cheapest assets to deliver for collateral management purposes. Source: Accenture Capital Markets 4
5 Although a real challenge, the integration of data analytics into investment bank operating models is the future state Figure 4: From Big Data to Big Outcomes Analytics Application Example Use Cases Users Trade Surveillance & Financial Crime Discovery and detection of aberrant behaviours for targeted investigation to mitigate conduct risk and potential financial penalties Rogue trading Unauthorised trading Benchmark rigging (i.e. LIBOR/FX rate manipulation) Commodities price fixing (e.g gold prices) Fraud in dark pools Background checks/analysis for client onboarding/kyc Compliance, Onboarding Funding & Capital Management Real-time/On-demand capital allocation and optimisation and liquidity management Decision Suport for the middle Office Complex event processing Client Facing Technology for the Buy-Side Pre-Trade Analytics for the Front Office Real-time Stress Testing Middle Office, Treasury/ALM Business-Led Intelligence Next-generation data warehousing but with a business-led approach Institutional Customer: Pricing for advisors Trade Profitability Client lifetime value / 360 View Cross-sell / Up-sell opportunities Client Retention / Acquisition Management Information: Post-Trade Securities Processing What-if Analysis of Portfolio Risk P&L Trending of Traders & Books Sales & Trading, Middle Office, Operations, Risk Source: Accenture Capital Markets cost to serve for securities processing, and deeper insights on the risk and P&L trends of individual trading books. At the same time, market leaders are making the most of the opportunity to create richer interactions with their clients by providing data and analytics for their trading activity, and portfolio health checks in the wealth management space. The capital markets industry has vast amounts of data and a vast appetite for it. Although a real challenge, the integration of data analytics into investment bank operating models is the future state, and has the potential to bring insight into everyday business-decision making as well as long-term strategic planning. If not yet a market-wide standard, being able to draw factual, data-driven conclusions in order to support analysis of business sentiment or showcase operating trends is becoming a prerequisite for the leaders in the industry. 5
6 About Accenture Accenture is a global management consulting, technology services and outsourcing company, with more than 305,000 people serving clients in more than 120 countries. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world s most successful companies, Accenture collaborates with clients to help them become high-performance businesses and governments. The company generated net revenues of US$30.0 billion for the fiscal year ended Aug. 31, Its home page is Accenture Experts To discuss any of the ideas presented in this paper please contact: Matt Long Managing Director, Capital Markets, London matthew.j.long@accenture.com Edwin Van der Ouderaa Managing Director and Digital Lead Financial Services Europe, Africa & Latin America edwin.vanderouderaa@accenture.com Copyright 2014 Accenture All rights reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture. Disclaimer This report has been prepared by and is distributed by Accenture. This document is for information purposes. No part of this document may be reproduced in any manner without the written permission of Accenture. While we take precautions to ensure that the source and the information we base our judgments on is reliable, we do not represent that this information is accurate or complete and it should not be relied upon as such. It is provided with the understanding that Accenture is not acting in a fiduciary capacity. Opinions expressed herein are subject to change without notice.
> Cognizant Analytics for Banking & Financial Services Firms
> Cognizant for Banking & Financial Services Firms Actionable insights help banks and financial services firms in digital transformation Challenges facing the industry Economic turmoil, demanding customers,
More informationEquities Dealing, Brokerage and Market Making
Equities Dealing, Brokerage and Market Making SEEK MORE Fully informed and ready to trade A whole world of information affects the equity markets economic data, global political events, company news and
More informationDecision Solutions Consulting Group. Leading Solutions for Leading Enterprises
Decision Solutions Consulting Group Leading Solutions for Leading Enterprises The Big Picture Enterprises today face a number of challenges Issues Amid the growing complexity of consumer behaviour, economic
More informationNICE MULTI-CHANNEL INTERACTION ANALYTICS
NICE MULTI-CHANNEL INTERACTION ANALYTICS Revealing Customer Intent in Contact Center Communications CUSTOMER INTERACTIONS: The LIVE Voice of the Customer Every day, customer service departments handle
More informationAccenture Business Intelligence for Fashion and Luxury. Creating a Differentiated Customer Experience for Long-term Brand Loyalty
Accenture Business Intelligence for Fashion and Luxury Creating a Differentiated Customer Experience for Long-term Brand Loyalty Fashion is inherently an ever-changing industry. Customer preferences fluctuate
More informationeircom gains deep insights into customer experience
eircom gains deep insights into customer experience Reducing churn and improving customer experience with predictive analytics from IBM and Presidion Smart is... Using predictive analytics to identify
More informationCONNECTING DATA WITH BUSINESS
CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm
More informationOracle Financial Services Broker Compliance
Oracle Financial Services Broker Compliance Financial institutions with retail, wealth management, and private banking businesses recognize the direct relationship between rigorous compliance processes
More informationAccenture Sustainability Performance Management. Delivering Business Value from Sustainability Strategy
Accenture Sustainability Performance Management Delivering Business Value from Sustainability Strategy Global executives are as committed as ever to sustainable business. Yet, executing a sustainability
More informationWhat s Trending in Analytics for the Consumer Packaged Goods Industry?
What s Trending in Analytics for the Consumer Packaged Goods Industry? The 2014 Accenture CPG Analytics European Survey Shows How Executives Are Using Analytics, and Where They Expect to Get the Most Value
More informationTap into Big Data at the Speed of Business
SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics
More informationWhite Paper Electronic Trading- Algorithmic & High Frequency Trading. PENINSULA STRATEGY, Namir Hamid
White Paper Electronic Trading- Algorithmic & High Frequency Trading PENINSULA STRATEGY, Namir Hamid AUG 2011 Table Of Contents EXECUTIVE SUMMARY...3 Overview... 3 Background... 3 HIGH FREQUENCY ALGORITHMIC
More informationKnowing the customer: this time it s personal. How analytics can help banks achieve superior CRM, secure growth and drive high performance
Knowing the customer: this time it s personal How analytics can help banks achieve superior CRM, secure growth and drive high performance Table of Contents Introduction How advanced analytics changes customer
More informationTapping the benefits of business analytics and optimization
IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping
More informationIBM 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 informationBoost Profits with Better Marketing Analytics
Boost Profits with Better Marketing Analytics Marketing Solutions for the Utilities Industry Publication Date: July, 2014 www.datamentors.com info@datamentors.com 01. Boost Profits with Better Marketing
More informationDecisioning for Telecom Customer Intimacy. Experian Telecom Analytics
Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures. From heightened
More informationOptimize 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 informationAccenture: Digitizing Internal Audit
Accenture: Digitizing Internal Audit 2 The Internal Audit function at Accenture is essential for identifying and assessing financial, operational, and technology risks and controls. As Accenture has expanded
More informationAccenture Commodity Trading and Risk Management Services. Helping companies achieve high performance in commodity trading operations
Accenture Commodity Trading and Risk Management Services Helping companies achieve high performance in commodity trading operations 2 Companies today operate in a fundamentally changed global business
More informationBanking on Business Intelligence (BI)
Banking on Business Intelligence (BI) Building a business case for the Kenyan Banking Sector The new banking environment in Kenya is all about differentiating banking products, increased choices, security
More informationFive 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 informationNavigating Big Data business analytics
mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining what
More informationListening to the Voice of the Advisor
Capital Markets Future of Investing Listening to the Voice of the Advisor The role of the wealth management advisor has changed dramatically in recent years. No longer does the advisor serve as the sole
More informationTransforming Trading Operations. Using Analytics to Drive Trading Strategy
Transforming Trading Operations Using Analytics to Drive Trading Strategy 2 The term analytics seems to be everywhere these days across every industry and in just about every facet of technology. Commodity
More informationForced Compensation: Attracting new talent and retaining experience. Top Ten Challenges for Investment Banks 2015
Forced Compensation: Attracting new talent and retaining experience 03 Top Ten Challenges for Investment Banks 2015 Forced Compensation: Attracting new talent and retaining experience Forced Compensation:
More informationThe Future of Business Analytics is Now! 2013 IBM Corporation
The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics
More informationG-Cloud II Services Service Definition Accenture Cloud Infrastructure Implementation Services
G-Cloud II Services Service Definition Accenture Cloud Infrastructure Implementation Services 1 Table of Contents 1. Scope of our Services... 3 1.1. Data Centre Services... 3 1.2. Cloud Enterprise Services...
More informationManage 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 informationIBM 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 informationSolve 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 informationGlobal Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881 www.idc-hi.com
Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881 www.idc-hi.com L e v e raging Big Data to Build a F o undation f o r Accountable Healthcare C U S T O M I N D
More informationThe 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. Understand the roles and responsibilities
More informationAccenture Parts Optimization: Warranty Services Gaining Control Over Warranty Costs
Accenture Parts Optimization: Warranty Services Gaining Control Over Warranty Costs 2 Accenture Warranty Optimization Services: Gaining Control Over Warranty Costs The numbers are compelling: On average,
More informationDecisioning for Telecom Customer Intimacy. Experian Telecom Analytics
Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures from heightened
More informationSolve 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 informationThree 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 informationAccenture Risk Management. Industry Report. Life Sciences
Accenture Risk Management Industry Report Life Sciences Risk management as a source of competitive advantage and high performance in the life sciences industry Risk management that enables long-term competitive
More informationThe 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 informationWealth and Asset Management Services Spotlight. Redefining the Wealth Management Client Onboarding Experience
Wealth and Asset Management Services Spotlight Redefining the Wealth Management Client Onboarding Experience Why is Client Onboarding an Imperative? As competition in the wealth management industry becomes
More informationVIEWPOINT. High Performance Analytics. Industry Context and Trends
VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations
More informationConsumer Goods and Services
Accenture Risk Management Industry Report Consumer Goods and Services 2011 Global Risk Management Point of View Consumer Goods and Services 2011 Global Risk Management Point of View Consumer Goods and
More informationBig Data. Fast Forward. Putting data to productive use
Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realize
More informationSolve 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 informationThe big data business model: opportunity and key success factors
MENA Summit 2013: Enabling innovation, driving profitability The big data business model: opportunity and key success factors 6 November 2013 Justin van der Lande EVENT PARTNERS: 2 Introduction What is
More informationThe Evolution of Risk Technology
The Evolution of Risk Technology 2 The Evolution of Risk Technology Financial institutions have a complex relationship with technology. They need to constantly remain at the cutting edge of innovation
More informationAccenture CAS: Trade Promotion Optimization
Accenture CAS: Trade Promotion Optimization Develop winning promotions Understanding the market Increasingly, retailers and manufacturers expect more from their trade promotions: more sales, profitability
More informationAccenture CAS: integrated sales platform Power at your fingertips
Accenture CAS: integrated sales platform Power at your fingertips Understanding the market It is a tough market out there: margins are tightening, competition is increasing and the retail landscape is
More informationReal World Application and Usage of IBM Advanced Analytics Technology
Real World Application and Usage of IBM Advanced Analytics Technology Anthony J. Young Pre-Sales Architect for IBM Advanced Analytics February 21, 2014 Welcome Anthony J. Young Lives in Austin, TX Focused
More informationCan spreadsheets alone help your business performance excel? How business intelligence dashboards can overcome the issues inherent in spreadsheets
Can spreadsheets alone help your business performance excel? How business intelligence dashboards can overcome the issues inherent in spreadsheets See the bigger picture with Business Intelligence dashboards
More informationAccenture NewsPage Distributor Management System: The engine behind your business
Accenture NewsPage Distributor Management System: The engine behind your business 2 Understanding the market The emerging markets are large and complex with thousands of distributors, millions of outlets,
More informationEnterprise Data Management for SAP. Gaining competitive advantage with holistic enterprise data management across the data lifecycle
Enterprise Data Management for SAP Gaining competitive advantage with holistic enterprise data management across the data lifecycle By having industry data management best practices, from strategy through
More informationAchieving high performance with Accenture Utilities Business Process Outsourcing Services
Achieving high performance with Accenture Utilities Business Process Outsourcing Services Introduction Utility companies around the world are looking for ways to respond to industry and market changes,
More informationGetting the most out of big data
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 Getting the most out of big data Banks thrive on
More informationSetting smar ter sales per formance management goals
IBM Software Business Analytics Sales performance management Setting smar ter sales per formance management goals Use dedicated SPM solutions with analytics capabilities to improve sales performance 2
More informationAccenture Human Capital Management Solutions. Transforming people and process to achieve high performance
Accenture Human Capital Management Solutions Transforming people and process to achieve high performance The sophistication of our products and services requires the expertise of a special and talented
More informationAccenture Advanced Enterprise Performance Management Solution for SAP
Accenture Advanced Enterprise Performance Management Solution for SAP Helping oil and gas companies exploit today s insight and fuel tomorrow s high performance In the recent Accenture High Performance
More informationFive Predictive Imperatives for Maximizing Customer Value
Five Predictive Imperatives for Maximizing Customer Value Applying predictive analytics to enhance customer relationship management Contents: 1 Customers rule the economy 1 Many CRM initiatives are failing
More informationRedefining Customer Analytics
SAP Brief SAP Customer Engagement Intelligence Objectives Redefining Customer Analytics Making personalized connections with customers in real time Making personalized connections with customers in real
More informationHigh-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 informationOUR FOCUS YOUR GROWTH
ANALYTICS SERVICES OUR FOCUS YOUR GROWTH There is a plethora of data around us. For most companies, managing this data is becoming vital to building competitive advantage, sustaining and identifying new
More informationBeyond Trust Build lasting relationships and brand loyalty by delivering superior client experiences
Beyond Trust Build lasting relationships and brand loyalty by delivering superior client experiences Build lasting relationships and brand loyalty by delivering superior client experiences As the dust
More informationUnlocking the opportunity with Decision Analytics
Unlocking the opportunity with Decision Analytics Not so long ago, most companies could be successful by simply focusing on fundamentals: building a loyal customer base through superior products and services.
More informationSAP BusinessObjects Predictive Analysis. Transforming the Future with Insight Today
SAP BusinessObjects Predictive Analysis Transforming the Future with Insight Today What if.... You could identify hidden revenue opportunities within your customer base through predictive analytics?....
More informationA 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 informationA 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 informationHow To Transform 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 informationIBM 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 informationAchieving 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 informationBIG DATA ANALYTICS. in Insurance. How Big Data is Transforming Property and Casualty Insurance
BIG DATA ANALYTICS in Insurance How Big Data is Transforming Property and Casualty Insurance Contents Data: The Insurance Asset 1 Insurance in the Age of Big Data 1 Big Data Types in Property and Casualty
More informationMisys FusionRisk Solution overview. Grow with risk intelligence. Act with greater insight
Misys FusionRisk Solution overview Grow with risk intelligence Act with greater insight Enabling a risk-aware business strategy How do you make sure risk adds value to your business? Misys FusionRisk makes
More informationA Risk-Adjusted Operating Model for Insurers: Addressing Regulatory and Market Demands
A Risk-Adjusted Operating Model for Insurers: Addressing Regulatory and Market Demands While most insurers have recovered from the fiscal crisis of 2008, significant challenges remain on multiple fronts
More informationDATA MANAGEMENT FOR THE INTERNET OF THINGS
DATA MANAGEMENT FOR THE INTERNET OF THINGS February, 2015 Peter Krensky, Research Analyst, Analytics & Business Intelligence Report Highlights p2 p4 p6 p7 Data challenges Managing data at the edge Time
More informationAccenture NewsPage Sales Force Automation: Empower your people
Accenture NewsPage Sales Force Automation: Empower your people 2 Understanding the market Your people are your most important business asset. But, with hundreds of staff, serving thousands of small retailers,
More informationUnlock the business value of enterprise data with in-database analytics
Unlock the business value of enterprise data with in-database analytics Achieve better business results through faster, more accurate decisions White Paper Table of Contents Executive summary...1 How can
More informationTrading Services I Spotlight. Moving to the Standard Legal Entity Identifier. Client Data Management
Trading Services I Spotlight Moving to the Standard Legal Entity Identifier Client Data Management 2 Understanding Client Relationships When large financial institutions refer to their clients, they are
More informationUnderstanding the impact of the connected revolution. Vodafone Power to you
Understanding the impact of the connected revolution Vodafone Power to you 02 Introduction With competitive pressures intensifying and the pace of innovation accelerating, recognising key trends, understanding
More informationHow successful is your campaign and promotion management? Towards best-practice campaign management strategies
How successful is your campaign and promotion management? Towards best-practice campaign management strategies Welcome to the new normal Businesses today are under unprecedented pressure to increase spending
More informationAt a recent industry conference, global
Harnessing Big Data to Improve Customer Service By Marty Tibbitts The goal is to apply analytics methods that move beyond customer satisfaction to nurturing customer loyalty by more deeply understanding
More informationClaims 2.0: Rethinking High Performance in Claims. White Paper. Changing Channels. Accenture Multi-Channel Distribution Insurance Consumer Survey
Claims 2.0: Rethinking High Performance in Claims White Paper Changing Channels Accenture Multi-Channel Distribution Insurance Consumer Survey Effective multi-channel distribution: the solution to an ever-changing
More informationIBM SPSS Modeler Premium
IBM SPSS Modeler Premium Improve model accuracy with structured and unstructured data, entity analytics and social network analysis Highlights Solve business problems faster with analytical techniques
More informationTransforming Sales and Service with a Mobile-First Strategy. How to use mobility s unique capabilities for competitive advantage
Transforming Sales and Service with a Mobile-First Strategy How to use mobility s unique capabilities for competitive advantage Overview The proliferation of digital capabilities and convergence of social,
More informationIN-MEMORY COMPUTING: THE NEXT BIG THING FOR BIG DATA
IN-MEMORY COMPUTING: THE NEXT BIG THING FOR BIG DATA IN-MEMORY COMPUTING: THE NEXT BIG THING FOR BIG DATA As in-memory computing takes further steps toward maturity, the price of high-performance computing
More informationA Hurwitz white paper. Inventing the Future. Judith Hurwitz President and CEO. Sponsored by Hitachi
Judith Hurwitz President and CEO Sponsored by Hitachi Introduction Only a few years ago, the greatest concern for businesses was being able to link traditional IT with the requirements of business units.
More informationHow To Understand The Benefits 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 informationSocial Media Analytics: Making Customer Insights Actionable
IBM Software Business Analytics February 2013 Social Media Analytics: Making Customer Insights Actionable 2 Social Media Analytics Making Customer Insights Actionable Overview Much has been said about
More informationHow To Use Social Media To Improve Your Business
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 informationValue of. Clinical and Business Data Analytics for. Healthcare Payers NOUS INFOSYSTEMS LEVERAGING INTELLECT
Value of Clinical and Business Data Analytics for Healthcare Payers NOUS INFOSYSTEMS LEVERAGING INTELLECT Abstract As there is a growing need for analysis, be it for meeting complex of regulatory requirements,
More informationAccenture and SAP: Delivering Visual Data Discovery Solutions for Agility and Trust at Scale
Accenture and SAP: Delivering Visual Data Discovery Solutions for Agility and Trust at Scale 2 Today s data-driven enterprises are ramping up demands on their business intelligence (BI) teams for agility
More informationG-Cloud II Services Service Definition Accenture Cloud PaaS Implementation Services AWS Beanstalk
G-Cloud II Services Service Definition Accenture Cloud PaaS Implementation Services AWS Beanstalk 1 Table of Contents 1. Scope of our Services... 3 2. Approach... 3 3. Assets and Tools... 4 4. Outcomes...
More informationTaking 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 informationMaximize 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 informationIntegrated Sales and Operations Business Planning for Chemicals
Solution in Detail Chemicals Executive Summary Contact Us Integrated Sales and Operations Business Planning for Chemicals Navigating Business Volatility Navigating Volatility Anticipating Change Optimizing
More informationThe Real Benefits from Text Mining
The Real Benefits from Text Mining Olivier Jouve Vice President SPSS Rebecca Wettemann Vice President Nucleus Research Agenda SPSS and Text Mining Our analysis of text mining Identifying the biggest benefits
More informationThree Tips for Measuring Voice in the Sea of Big Data. Tom Goodmanson President and CEO, Calabrio Inc.
Three Tips for Measuring Voice in the Sea of Big Data Tom Goodmanson President and CEO, Calabrio Inc. Introduction Measuring Voice in the Sea of Big Data Enterprises Turn to the Contact Center to Understand
More informationBeyond 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 informationBI forward: A full view of your business
IBM Software Business Analytics Business Intelligence BI forward: A full view of your business 2 BI forward: A full view of your business Contents 2 Introduction 3 BI for today and the future 4 Predictive
More informationUse of Big Data Technologies in Capital Markets
View Point Use of Big Data Technologies in Capital Markets - Ruchi Verma, Sathyan R Mani Abstract Data is growing at a tremendous rate with an increase in digital universe from 281 Exabyte s (year 2007)
More informationBig Data & Analytics. Counterparty Credit Risk Management. Big Data in Risk Analytics
Deniz Kural, Senior Risk Expert BeLux Patrick Billens, Big Data Solutions Leader Big Data & Analytics Counterparty Credit Risk Management Challenges for the Counterparty Credit Risk Manager Regulatory
More informationIntegrated email archiving: streamlining compliance and discovery through content and business process management
Make better decisions, faster March 2008 Integrated email archiving: streamlining compliance and discovery through content and business process management 2 Table of Contents Executive summary.........
More information