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smarter analytics

Results 1 - 25 of 59Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: IBM     Published Date: Apr 04, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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smarter approach, inside ibm, business, analytics, solutions, mid size businesses, engineers, leverage
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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ibm, ibm business analytics solutions, business analytics, analytics solutions, midsize businesses, financial reporting, business intelligence, desktop data visualizations
    
IBM
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: IBM Smarter Analytics     Published Date: Sep 04, 2013
Organizations that have virtualized their environments are discovering that the journey's not over. In many ways, it's just beginning. The full benefits of virtualization -- from cost savings and increased speed to resource transparency and control -- can only be fully realized by optimizing all of the interdependent components. In this webcast, IBM leaders discuss how organizations can get more from their virtualization investments with best practices gleaned from years of transforming traditional data centers and building world-class clouds.
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virtualization, best practices, optimizing, ibm webinar, traditional data, data management, knowledge management, enterprise applications
    
IBM Smarter Analytics
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 03, 2019
"Managing and securing endpoints with conventional mobile device management (MDM) or enterprise mobile management (EMM) solutions is time-consuming and ineffective. For this reason, global IT leaders are turning towards unified endpoint management (UEM) solutions to consolidate their management of smartphones, tablets, laptops and IoT devices into a single management console. To increase operational efficiency, maximize data security and deliver on their digital transformation goals, they’ll need a UEM platform that does more than just promise success. The answer is a smarter solution, built for today, that brings new opportunities, threats, and efficiency improvements to the forefront. With Watson™, IBM® MaaS360® UEM features cognitive insights, contextual analytics, and cloud-sourced benchmarking capabilities. It helps you make sense of daily mobile details while managing your endpoints, users, apps, document, and data from one platform."
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Group M_IBM Q2'19
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Sep 30, 2013
In a “talent-constrained” economy, attracting and engaging highly talented people, developing globalleaders, improving and sharing new skills, and keeping people aligned and working together are major challenges. In this report, we discuss how new approaches and a new science of human resources have emerged to develop a “smarter workforce,” resetting the bar on talent, learning, and leadership strategies.
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smarter workforce, workforce management, workforce, global, global businesses, recruiting, human resources, data analysis
    
IBM
Published By: IBM     Published Date: Jan 10, 2014
In a “talent-constrained” economy, attracting and engaging highly talented people, developing globalleaders, improving and sharing new skills, and keeping people aligned and working together are major challenges. In this report, we discuss how new approaches and a new science of human resources have emerged to develop a “smarter workforce,” resetting the bar on talent, learning, and leadership strategies.
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global economy, smarter workforce, talent, talent analytics, impact learning prehire assessments, human capital, learning organization, employee engagement
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, smarter workforce, talent management, talent analytics, workforce management software, recruiting software/services
    
IBM
Published By: IBM     Published Date: Mar 12, 2014
Businesses that build strong analytically oriented teams, adopt new ways to use information and take advantage of the power of the cloud can jump ahead of their competition.
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ibm, business analytics, cloud, cloud analytics, cloud platform, data, trends, ibm smartcloud
    
IBM
Published By: SAP     Published Date: Jul 18, 2016
Companies are finding more success with advanced analytics initiatives, allowing for continued innovation and experimentation. Read the report learn key findings from the survey carried out by The Economist Intelligence Unit, with Sponsorship by SAP.
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SAP
Published By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
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ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis
    
IBM
Published By: SAS     Published Date: Oct 03, 2018
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? Technology is redefining what’s possible in fighting fraud and financial crimes, and SAS is at the forefront, offering solutions to: • Protect from reputational, regulatory and financial risks. • Reduce the cost of fraud and financial crimes prevention. • Gain a holistic view of risk across functions. • Include cyber events in regulatory report filings. In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security. SAS fraud solutions use advanced analytics and artificial intelligence to help your organization better detect and prevent fraud. By applying analytics and powerful machine learning on a unifying platform, SAS helps organizations around the globe detect more financial offenses, reduce false positives and run more efficient investigations.
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SAS
Published By: IBM     Published Date: Nov 07, 2012
This is a series of 5 papers giving an Industry POV for analytics (Banking, Insurance, Government, Telecommunications, Retail). These papers extends from Smarter Computing Industry papers with a deeper look at analytics.
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retail, ibm, smarter analytics, performance, customer insight, business technology
    
IBM
Published By: IBM     Published Date: Oct 30, 2013
Learn how your finance organization can gain visibility, insight and control over the levers of performance with the CFO performance insight solution from IBM.
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ibm, gain visibility, gain insight and control, cfo performance, insight solution, improve visibility, smarter analytics, predictive analytics
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Read this eBook to explore how using predictive and prescriptive analytics applied to talent can drive better business results.
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ibm, workforce analytics, ibm smarter workforce institute, human resources, hr analytics
    
IBM
Published By: IBM     Published Date: Oct 01, 2013
GS Retail company implemented the IBM Smart Analytics System 5600 which brings together System x hardware, software and storage to create a fast and easy-to-deploy, end-to-end business intelligence (BI) environment.
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ibm, ibm smart analytics, ibm smart analytics system 5600, analytics, system x, ibm system x, storage, business intelligence
    
IBM
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