it analytics

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Published By: IBM     Published Date: Apr 27, 2017
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.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
    
IBM
Published By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
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ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
    
IBM
Published By: IBM     Published Date: Jun 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
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ibm, ibm cloudant, apache spark, nosql, database
    
IBM
Published By: IBM     Published Date: Jul 28, 2017
Modern enterprises are doing their best to address three simultaneous and closely interrelated objectives related to their information technology/infrastructure: To identify and assess security-related risks, and manage them to an acceptable level To achieve, sustain, and demonstrate compliance with policies and regulatory requirements To improve the efficiency and cost-effectiveness of ongoing operations, e.g., to provide greater flexibility and scale at lower total annual cost For several years now, Aberdeen Group has referred to this trifecta of strategic objectives as the quest for enterprise computing infrastructure to be secure, compliant, and well-managed.
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information technology, information infrastructure, security risks, operation efficiency, operation flexibility
    
IBM
Published By: IBM     Published Date: Oct 16, 2017
When you’re presented with IT security metrics, your question is: What does this mean for my business? And ultimately, what data should I be most concerned with? The point is, not all data deserves equal protection. A more effective approach is to understand: • Which data is most critical (also known as “crown jewels”)? • Where does that data reside? • How is it exposed to security risks? • What potential impact would a security breach to this data have on your organization? • What are the appropriate steps to take based on the data’s criticality?
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ibm, data, it security, data analytics
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
In our 36-criteria evaluation of security analytics (SA) providers, we identified the 11 most significant ones — BAE Systems, E8 Security, Fortinet, Hewlett Packard Enterprise (HPE), Huntsman Security, IBM, Intel Security, LogRhythm, RSA, Securonix, and Splunk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps security and risk (S&R) professionals make the right choice.
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security analytics platforms, ibm security, security analytics, security and risk
    
Group M_IBM Q1'18
Published By: Unica Corporation     Published Date: Jan 19, 2010
Most web analytics solutions were initially architected to generate reports using only aggregate data. Next generation web analytics solutions use both aggregate and individual level data to achieve interactive marketing success. This free interactive infographic, includes live links that will guide you through a valuable framework for web analysis and gives insight into your overall website performance and visitors' behaviors. Learn how to optimize your visitors' website experiences and turn those experiences into actions.
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interactive web analytics map, next generation web analytics, website optimization, multi-channel analytics, aggregate level analytics, individual level analytics, website performance, behaviorial targeting
    
Unica Corporation
Published By: Seagate Technology     Published Date: Apr 14, 2015
Surveillance systems are evolving from being used primarily for security purposes to being used for analytics and improved ROI. With that in mind, it's important to consider many factors and how they affect the architecture of your surveillance system. This webinar will provide some of the top trends that may affect the outcome of your storage architecture.
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surveillance, seagate, surveillance hdd, surveillance solutions
    
Seagate Technology
Published By: CrownPeak     Published Date: Jun 30, 2009
This is the second of a three part CrownPeak White Paper exploring Why Content Marketing Is Online Marketing. In this series we present the new idea that Web content marketing is the central and most important tenet of online marketing. Today, the function of online marketing revolves around the Web which, itself, revolves around content. So as we talk about online marketing/marketers and content marketing/marketers consider them and yourself one and the same. Learn more today!
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crownpeak, roi, web content marketing, cms, content management system, web site development, infocenter, hosted services
    
CrownPeak
Published By: LeadLife Solutions     Published Date: Oct 20, 2008
Tips on how a lead management system can help you track, score, nurture leads, and give you visibility to real marketing analytics...
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leadlife solutions, lead generation, roi, cso, crm
    
LeadLife Solutions
Published By: Pardot     Published Date: Apr 29, 2009
Learn how to use marketing automation tools to streamline your process and push leads quickly through the pipeline without increasing your spend. Marketing automation suites offer an integrated option for generating and managing leads with landing page and email marketing tools, automated scoring and grading, drip nurturing emails, micro-level analytics and anonymous visitor identification.
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pardot, web marketing value, leads, streamline, pipeline, marketing automation, lead management, lead generation
    
Pardot
Published By: Polaris Research, Inc     Published Date: Jun 16, 2009
Polaris Research, Inc. is a recognized leader in decomposing historical marketing results to determine ROI across the entire media landscape. Our marketing analytics and insights empower companies to optimize spending levels within and across media channels based on individual elasticity and performance to realize millions of dollars in savings. Learn more today!
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polaris, marketing mix modeling & optimization, mmm&o, roi. return on investment, market events, elasticity, all-media, analytics
    
Polaris Research, Inc
Published By: Pure Visibility, Inc.     Published Date: Sep 08, 2008
For marketing managers and business owners, understanding how Online marketing and your Web presence impact the bottom line is critical. Even more important, setting specific goals around the attraction and conversation of Web traffic is a strategic means of aligning online activities with offline marketing in a way that puts the business goals in the front and center of your marketing efforts.
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google analytics, pure visibility, goal funnel, conversion, conversion funnel, tools, marketing analytics, goal
    
Pure Visibility, Inc.
Published By: IGLOO Software     Published Date: Dec 29, 2009
Networked business models are the wave of the future as we extend collaboration, knowledge sharing and networking beyond the corporate firewall to customers, partners and suppliers. Focusing resources on optimizing your relationships with these stakeholders can make you more resilient and adaptive to shifts in the market.
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social marketplace, igloo, collaboration, facebook, linkedin, twitter, web 2.0, loyalty
    
IGLOO Software
Published By: Cornerstone OnDemand     Published Date: Jul 28, 2017
The modern recruiter has it far from easy. While the soft skills of recruiting are still relevant — good communication skills, outgoing personality, and keen intuition — the tech-driven world of work requires talent acquisition specialists to navigate a variety of tools, data analytics, and social media platforms. Recruiters can no longer just be great “people people”—they need to be great tech people, too.
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recruitment, human resources, communication, data analytics, social media
    
Cornerstone OnDemand
Published By: SAS     Published Date: Jun 05, 2017
Data professionals now have the freedom to create, experiment, test and deploy different methods easily – using whatever skill set they have – all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organizations get faster results and better ROI from analytics efforts.
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SAS
Published By: SAS     Published Date: Aug 17, 2018
This SAS and Intel collaborated piece demonstrates the value of modernizing your analytics infrastructure using SAS® software on Intel processing. Readers will learn: • Benefits of applying a consistent analytic vision across all functions within the organization to make more insight-driven decisions. • How IT plays a pivotal role in modernizing analytics infrastructures. • Competitive advantages of modern analytics.
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SAS
Published By: SAS     Published Date: Aug 17, 2018
What if we stopped arguing over which analytics software is best, and decided instead to use them all? With today’s analytics technologies, the conversation about open analytics and commercial analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics within your organization. Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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SAS
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