api analytics

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Published By: IBM     Published Date: Nov 10, 2016
Are you aware of the ongoing dialog about your products and services? Are you participating? Recent surveys show that organizations that deliver good customer experiences are reaping greater revenues than those that don’t. Yet companies are struggling to pivot towards the customer, because it often requires a complete overhaul of management, culture and technologies. This session will show how to defeat content chaos, streamline and accelerate onboarding and service processes, minimize friction with customers, use analytics to anticipate and prepare for customer needs, and give your front-line people the tools they need to offer a superior experience that will grow your revenues and generate great word of mouth.
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ibm, analytics, ecm, engagement, customer, enterprise applications
    
IBM
Published By: MuleSoft     Published Date: Sep 08, 2016
The organization as we’ve known it is barely clinging to life support. Increasingly, the calcified, creaky business systems and processes that have been embedded in organizations for decades are being swept away by more agile digital disruptors. Online and app-based companies powered by cloud, open APIs, data analytics, mobile, social, and connected to the Internet of Things are redefining markets and raising consumer expectations.
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mulesoft, forbes, api, cloud, data analytics, business analytics, business intelligence, business management
    
MuleSoft
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
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ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight, knowledge management, enterprise applications
    
IBM
Published By: SolidFire_NetApp     Published Date: May 10, 2016
Ultimate Software is a leading cloud provider of comprehensive human capital management (HCM) solutions delivered via Software as a Service (SaaS). More than 2,800 customers with employees in 150 countries count on Ultimate’s award-winning UltiPro® suite to unite all aspects of HR, payroll, and talent management throughout the employee life cycle, all supported by powerful reporting and analytics.
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software, network management, network solutions, best practices, business intelligence, productivity, business optimization, application integration
    
SolidFire_NetApp
Published By: MuleSoft     Published Date: Apr 13, 2016
Today’s successful organization needs to be able to turn on a dime, changing its product or service direction as fast as its customers’ needs require. The successful business of the 21st century crosses all boundaries; can quickly meet and adapt to competition, whether it comes from another part of the world, another industry or a startup; or it can use its core competencies to extend itself in new ways. Welcome to the Composable Enterprise. This kind of company—powered by cloud, open APIs, data analytics, mobile and social, and connected to the Internet of Things—is redefining markets and raising consumer expectations. The composable enterprise casts away the hierarchical and hardwired systems and processes that defined its predecessors, and represents a radical rethinking of how technology can serve innovation and how innovation can serve customers.
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enterprise network, digital management, enterprise application, application management, data, data analytics, cloud management, enterprise applications
    
MuleSoft
Published By: CDW - APC     Published Date: Apr 07, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, application integration
    
CDW - APC
Published By: CDW     Published Date: Apr 04, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, network management, application integration, content management system
    
CDW
Published By: IBM     Published Date: Mar 31, 2016
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience Attend to also learn how to: Provide business users with real-time information for more informed decision making Leverage the latest cloud, mobile, and analytics enhancements in IIB v10 Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions Who Should Attend this Webcast: business audience"
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ibm, api, integration, application program interface, middleware, data integration
    
IBM
Published By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
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cost-benefit analysis, der, analytics, platform, utility, smart grid
    
Landis + Gyr
Published By: IBM     Published Date: Jul 31, 2015
In the rapidly changing market, CSPs need big data/analytics plans that focus on customer objectives, business operations and new revenue generation.
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ibm, telecom, csps, big data, analytics plans, business operations, revenue generation
    
IBM
Published By: SAS     Published Date: Apr 21, 2015
High-performing organizations leverage the power of analytics by channeling their efforts in four areas: focus, adopt, adapt, and activate. These companies have embraced a new paradigm that promotes agility, fast execution, and lasting organizational change.
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SAS
Published By: HP     Published Date: Jan 20, 2015
Security breaches can happen anywhere in an organization, and having the ability to analyze any form of data can give you the edge against fraud, theft, and infiltration by pinpointing abnormal behavior patterns. Understanding your security vulnerabilities requires rapid, deep analytics against business data, machine data, and unstructured human information.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: Cisco     Published Date: Jan 15, 2015
In today’s dynamic network environment, point-in-time solutions lack the visibility and control you need to implement an effective security policy that will accelerate threat detection and response. And disparate solutions only add to capital and operating costs and administrative complexity.
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operating costs, capital, threat detection, visibility, networks, computing, cloud, innovation
    
Cisco
Published By: IBM     Published Date: Jan 09, 2015
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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it trends, mobile technology, social collaborition, data analytics, big data, data center strategy, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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it trends, data center strategies, cloud computing, mobile technology, it management, data management, business intelligence
    
IBM
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security
    
EMC Corporation
Published By: QTS Data Centers     Published Date: Feb 18, 2014
The cloud has been beneficial to many IT departments by enabling quicker responses to the fast-moving market and ever-changing customer needs. So when is your business migrating over?
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qts, the cloud, migrating, integration, technology, it departments, migration, it leaders
    
QTS Data Centers
Published By: IBM     Published Date: Feb 10, 2014
Manage physical and virtual assets, maintain your infrastructure and capital equipment and maximize the efficiency of your people, processes and assets with predictive analytics.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, operational value cycle
    
IBM
Published By: IBM     Published Date: Nov 08, 2013
Tap a wealth of data to improve recruitment, staff development and retention.
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ibm, human resources, human capital, ibm business analytics, performance reviews, workforce requirements, prioritize applicants, greater employee satisfaction
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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technology trends, pervasive technology, data center, resilient infrastructures, collaboration and analytics, mobile technology, ibm, accurate strategies
    
IBM
Published By: CEB     Published Date: Jun 19, 2013
What will differentiate the best HR leaders? Learn the three key trends you need to address over the next year that will unlock the potential for deeper contribution to your business.
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talent assessment, workforce planning, succession management, human capital analytics, hr metrics, network performance, global hr management, human resources management
    
CEB
Published By: CEB     Published Date: May 09, 2013
What will differentiate the best HR leaders? Learn the three key trends you need to address over the next year that will unlock the potential for deeper contribution to your business.
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talent assessment, workforce planning, succession management, human capital analytics, hr metrics, network performance, human resources
    
CEB
Published By: IBM     Published Date: Aug 08, 2012
While economic recovery is clearly in process, your capital and operational budgets are still extremely tight. At the same time, your maintenance organization is being pressured to take a stance of zero tolerance toward safety incidents while reducing maintenance costs and minimizing asset downtime. Read this in-depth Aberdeen Group report, based on responses from 117 executives of successful companies, to find out how best-in-class businesses are proactively managing these challenges. You'll learn these techniques for optimizing maintenance and operations-and more: creating a culture of collaboration among teams across your enterprise; empowering decision makers with appropriate, highly accurate metrics; and leveraging predictive management and analytics to manage assets throughout their life cycle.
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ibm, technology, software, asset performance management, economic recovery, operational budgets, capital, asset management
    
IBM
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