analytical

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By: IBM     Published Date: Jan 21, 2016
This animated video is based on the report that provides practical guidance on the critical 10 steps for the first 100 days of setting up an analytically enabled HR function.
Tags : ibm, workforce analytics, enterprise applications, human resource technology, business technology
     IBM
By: IBM     Published Date: Jan 20, 2016
High-performing finance organizations are analytically advanced.
Tags : ibm, finance analytics, enterprise applications, business technology
     IBM
By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
Tags : ibm, analytics, spss, stats, modeler, predictive analytics, enterprise applications, data management, business technology
     IBM
By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
Tags : ibm, spss, data analysis, statistics, risk mitigation
     IBM
By: IBM     Published Date: May 04, 2018
A dversaries, and cybercriminal organizations in particular, are building tools and using techniques that are becoming so difficult to detect that organizations are having a hard time knowing that intrusions are taking place. Passive techniques of watching for signs of intrusion are less and less effective. Environments are complicated, and no technology can find 100 percent of malicious activity, so humans have to “go on the hunt.” Threat hunting is the proactive technique that’s focused on the pursuit of attacks and the evidence that attackers leave behind when they’re conducting reconnaissance, attacking with malware, or exfiltrating sensitive data. Instead of just hoping that technology flags and alerts you to the suspected activity, you apply human analytical capacity and understanding about environment context to more quickly determine when unauthorized activity occurs. This process allows attacks to be discovered earlier with the goal of stopping them before intruders are able t
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     IBM
By: IBM     Published Date: Oct 03, 2017
Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
Tags : data aggregation, risk reporting, bank regulation, enterprise, reapportion budgets
     IBM
By: Semphonic     Published Date: Jun 11, 2009
A Microsite is an independent, focused website subsidiary to a larger, parent website. Its marketing, branding, and Search/Viral potential has been increasingly recognized by marketing and website managers, but measurement and analysis of a Microsite’s effectiveness requires analytical strategies and approaches that differ from the analysis of the parent website. Learn more today!
Tags : microsite, microsites, semphonic, independence, integration, saturation, directionality, lifetime contribution, branding awareness, keyword concentration, sourcing velocity, seo, kpi, conversion, saturation, sourcing
     Semphonic
By: SPSS Inc.     Published Date: Mar 15, 2010
This paper focuses on six myths that surround direct marketing best practices and discusses how you can use specific analytical techniques and tools to beat these myths, increase response rates and boost ROI.
Tags : spss, direct marketing software, campaign optimization, response rate, roi, segmentation, cluster analysis, customer persona, rfm, testing, prospect profiling, purchase score, postal code analysis, up-sell, cross sell
     SPSS Inc.
By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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     SAS
By: IBM     Published Date: Jan 02, 2014
For midsize organizations, business analytics offers the crucial ability to transform data into insight and uncover opportunities for growth and competitive advantage. This Aberdeen Sector Insight explores the impact of business analytics in North American midsize organizations.
Tags : ibm, aberdeen group, mid-market analytics, data into insight, business analytics, technology investment, aberdeen sector insight, opportunities for growth, leveraging analytics, actionable insight, data environments, analytical solution, effective analytics, analytical engagement, process efficiency, data capture, data optimization, data management, data center
     IBM
By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
Tags : ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse
     IBM
By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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     Cisco
By: IBM     Published Date: Jul 22, 2014
Listen to an interactive discussion (socialcast) with a select group of IBM Data Scientists that goes beyond the tools and tackles new ways your business can use data.
Tags : ibm, it operations analytics, it operations, analytical applications, data, big data, it app infrastructure, cloud, data science, ibm software, it management
     IBM
By: IBM     Published Date: Jan 14, 2015
Decision makers need data and they need it now. As the pace of business continues to accelerate, organizations are leaning heavily on data warehouses to deliver analytical grist for the mill of daily decisions. This Research Report from Aberdeen Group examines the benefits of data warehouse solutions that offer rapid information delivery while minimizing complexity for users and IT.
Tags : aberdeen group, data warehouse, data center, data management, analytic tools, collaboration, data trust, data analytics
     IBM
By: IBM     Published Date: May 20, 2015
Join our IBM Big Data analytics experts at this webinar for a discussion of how the right analytical techniques can broaden the possibilities of your analytics infrastructure.
Tags : big data, analytics, forecasting, data management
     IBM
By: IBM     Published Date: Jul 15, 2015
The Forrester Wave.
Tags : big data, analytics solutions, evaluate, analytical data, strategy
     IBM
By: SPSS     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 technology sector.
Tags : spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
     SPSS
By: SPSS     Published Date: Jun 30, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making, enterprise applications
     SPSS
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.
Tags : spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
     SPSS, Inc.
By: SPSS, Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
     SPSS, Inc.
By: SAS     Published Date: Apr 25, 2017
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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     SAS
By: SAS     Published Date: Apr 25, 2017
Are you a marketing leader on the path to modernizing your marketing organization? Are you a marketing analyst championing analytical transformation in your campaigns? If you answered yes to either question, this e-book is for you. It offers a practical account of how to create a new marketing culture that adds value through data and analytics. You’ll meet marketing leaders from Comerica, Lenovo, RCI, SAS and Visa – and read how they’re implementing analytics, redefining marketing strategies and transforming their cultures. By sharing their perspectives, we hope to provide a new set of best practices to guide your analytical transformation – and to help you reinvent your marketing organization for the digital age.
Tags : 
     SAS
By: SAS     Published Date: Jun 05, 2017
If you’re dealing with large amounts of data and complex problems, you might be ready to hire a data scientist. But what will you ask in the interview, and how will you evaluate the candidates? In this e-book, we provide 20 interview questions, so you can walk right into the interview knowing what to ask. We also profile three working data scientists, so you can better understand the backgrounds and habits of this new breed of analytical data expert. Whether you’re hiring your first data scientist or your fifteenth, we hope this e-book helps you find the right candidate.
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     SAS
By: SAS     Published Date: Oct 18, 2017
Are you thinking about adding artificial intelligence to your organization? It’s certainly a hot topic and worth the attention. This paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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     SAS
By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
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     SAS
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