This whitepaper details how predictive analysis can help your business. Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
Published By: SPSS, Inc.
Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business. Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
Published By: Mintigo
Published Date: Sep 05, 2018
Creating a data-driven, intelligent sales and marketing system is both today’s challenge and tomorrow’s imperative. Marketers can no longer live by “I think, I feel” and sales can no longer manage by “gut instinct.”
Data is the new power currency in sales and marketing, and this is especially true if you want to succeed in an account-based marketing approach. Begin with the end in mind, use data and predictive intelligence to discover and target accounts and decision makers, create targeted content, select channels, deliver an omni-channel experience and measure results.
This ebook will cover seven steps that every account-based marketer and seller should follow to create a successful process for ABM.
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences.
Download this executive brief from CIO to learn:
5 steps to an effective predictive IT strategy
Where AI can help, and where it can’t
How to drive revenue and exceptional customer experiences with predictive analytics
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud
and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes
need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a
Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Published By: BMC ESM
Published Date: Aug 20, 2009
See the highlights of BMC’s Application Performance and Analytics; a predictive, resourceful and intelligent solution that empowers IT Operations to reduce mean time to repair (MTTR), avoid problems with early warning, find problems faster using fewer resources, ensure applications meet business requirements and put the right person on the right problem, every time.
With customer analytics-including predictive analytics, social analytics, business intelligence, and decision management-companies are empowered to improve the customer experience and maximize business outcomes by being proactive, rather than reactive. Comments made in social channels about a perceived problem with a checkout tool on a company's website, for example, can alert company decision-makers about a potential issue before it hits the contact center.
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence.
Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever.
What you will learn:
8 trends that reflect bank’s readiness for connected intelligence
9 pitfalls to avoid & 9 ways to bridge the gaps
The personal, real-time and predictive building blocks of AI & ML for banks
Notable leaders based on IDC Financial Insights’ research and their respective use cases
Essential guidance from IDC to leading banks
Published By: Dell EMC
Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
The old canon of long-lived viruses with random targets created by hacktivists for fame or nuisance has given way to a new generation zeroday/hour threats from organized criminals, with hand-picked targets and specific, malicious intent. In mid-2014, on a daily basis, Webroot saw 25,000 new malicious URLs, 777,000 new unknown files, many of which are malicious, and 1,000 new phishing sites. In the face of such exponential growth, traditional, reactive security can’t hope to keep up.
Not only is the volume of unknown threats overwhelming existing security solutions, but the unique characteristics of unknown threats are also making it difficult for traditional security to catch them.
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line.
Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
Traditionally, business intelligence (BI) has looked backward at what has happened. In today’s marketplace, enterprises need to look ahead. From predictive to prescriptive intelligence, TDWI and IBM look at what businesses need most.
AgilOne is a cloud-based predictive intelligence company that is experiencing a high growth rate. The company needed to find, and quickly deploy, a scalable storage solution to support its big data performance and future scalability requirements. Today, utilizing its 3PAR StoreServ storage solutions, AgilOne boasts a lower cost per terabyte, higher efficiency, and the ability to rapidly accommodate its new customers.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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