it operations analytics

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Published By: SAP     Published Date: Jul 18, 2016
A long-time user of SAP software, SAP for Retail solutions are the IT backbone of ULTA's operations. From real-time data to analytics, to automated back-end processes, to comprehensive employee support. ULTA is using IT to drive better, more personalized service and consistent shopping experiences. Learn how SAP helps ULTA Beauty Run Simple.
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SAP
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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Group M_IBM Q119
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: Avi Networks     Published Date: Mar 07, 2018
"Maximizing Operational Efficiency and Application Performance in VMware-Based Data Center Some of the most common challenges in VMware-based virtual data center environments include: - Lack of visibility into applications and end-user experience - Complex and error-prone operations - High capital and operational costs Review our solution brief to learn how the Avi Controller, the industry’s first solution that integrates application delivery with real-time analytics, is able to solve these challenges."
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Avi Networks
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to Oracle EBS” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s take on how to get better reporting and analytics from ERP and other critical data sources How Finance and IT leaders at Ladbrokes replaced Oracle reports and quit having to manipulate data in static spreadsheets
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Insight Software
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to JD Edwards” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s view on how to get better reporting and analytics from ERP and other critical data sources How Bibby Distribution gave users throughout the company the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Aviatrix     Published Date: Jun 11, 2018
Once you've designed and secured your Global Transit Network, are you done? Are you ready to hand day-to-day responsibility over to an operations team? Or, are there other elements you need to ensure that the day-to-day operation of your transit hub is efficient and effective? As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, demonstrate the best practices they've gleaned from working with operations teams, all who require: • Visibility: Do you have a way to centrally view your network, see performance bottlenecks, control security policies, and set other configuration details? • Deep Analytics: Can you easily gather performance and audit data and export it to Splunk, DataDog, or other advanced reporting tools? • Monitoring and Troubleshooting: Do you have a real-time view of network health, and how easily can you access the data needed to locate and fix issues? • Alert Management: When issues do occur, what r
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aws, aws vpc, aws global transit network, aws transit vpc, cisco csr, csr 1000v
    
Aviatrix
Published By: Citrix Systems     Published Date: Nov 13, 2018
Discover why ninety-four percent of organizations surveyed are already modifying, overhauling, or reassessing their network infrastructure to facilitate application delivery in hybrid- and multi-cloud environments. Read this e-book to learn why you should re-architect your network infrastructure to optimize application delivery: 1. Ensure end-to-end network visibility for your operations 2. Gain real-time analytics for application optimization and uptime 3. Scale your application infrastructure according to workload demand Read the e-book today to find out all six must-haves for application delivery in the cloud.
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Citrix Systems
Published By: Citrix Systems     Published Date: Feb 14, 2019
"Discover why ninety-four percent of organizations surveyed are already modifying, overhauling, or reassessing their network infrastructure to facilitate application delivery in hybrid- and multi-cloud environments. Read this e-book to learn why you should re-architect your network infrastructure to optimize application delivery: 1. Ensure end-to-end network visibility for your operations 2. Gain real-time analytics for application optimization and uptime 3. Scale your application infrastructure according to workload demand Read the e-book today to find out all six must-haves for application delivery in the cloud."
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Citrix Systems
Published By: Extreme Networks     Published Date: Sep 17, 2014
In this eBook, we will demonstrate specific use cases for how a business intelligence solution can be used effectively by IT operations.
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extreme networks, purview, application analytics, wifi/wireless, network solutions, business intelligence solutions, business intelligence, it operations, it management, data mining, networking, network technology, network optimization, business analytics, application, application security
    
Extreme Networks
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS
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, maintenance cost
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Your goal is clear-produce high-quality goods while optimizing resources at every step of production. And in today's uncertain economy, cost-control efforts may never have been more important. Unscheduled downtime because of equipment failure can have a serious impact on your organization's bottom line. Download this white paper from IBM, and learn the basics of predictive maintenance, the benefits it provides manufacturing operations and the underlying technologies that make it possible. Predictive analytics helps you in a number of ways: identify when equipment is likely to fail or need maintenance and take action to maximize uptime and reduce future warranty claims costs; optimize allocated labor resources and spare part inventories, helping eliminate undue maintenance, prevent downtime and reduce inventory costs; and determine why certain production runs fail more often than others, identify the cause and analyze whether those runs warrant a recall.
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ibm, technology, manufacturing, predictive maintenance, productivity, minimize downtime, reduce costs, white paper
    
IBM
Published By: VMTurbo     Published Date: Apr 11, 2013
This whitepaper describes VMTurbo’s supply chain economy approach, which uniquely addresses these requirements. VMTurbo combines monitoring, analytics and actions to enable proactive virtualization management. VMTurbo’s Observe Advise Automate model delivers intelligent and holistic visibility, analytics and automation.
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economic, management, operations, virtualization, vmturbo, analytics
    
VMTurbo
Published By: VMTurbo     Published Date: Dec 09, 2013
Learn about the 3 major challenges of virtualization management and how overcoming these issues will improve the efficiency of your IT infrastructure and application performance while simultaneously reducing IT costs.
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economic, management, operations, virtualization, vmturbo, analytics, it management
    
VMTurbo
Published By: 8x8 Inc.     Published Date: Feb 13, 2017
Many companies claim to offer enterprise grade communications solutions. But how is “enterprise grade” measured and what should you look for? This fact-filled white paper outlines 8 ways to determine whether or not your provider is equipped to offer an enterprise-grade communications solution. Download this complimentary white paper: The 8 Criteria for Enterprise-Grade Communications as a Service 8x8 shares full technical details on what to expect from an enterprise-grade service platform that stands above the rest. You’ll learn the 8 criteria to look for including: What to expect when it comes to service level guarantees What geo-routing technology is and why it’s critical for optimizing global call clarity and reliability What you should look for in your communications provider’s network for global operations and superior service Which security and compliance certifications to expect from your provider Specific uptime and reliability metrics to ask your provider for How analytics
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communications, enterprise grade, communications solution, 8x8, geo-routing
    
8x8 Inc.
Published By: Oracle     Published Date: Feb 10, 2016
There is little question that cloud is well established as a way to deliver business applications. Based on IDC research, over 70% of manufacturing companies are using hosted applications somewhere within their supply chain, with another 25% considering it. The most popular supply chain management (SCM) application areas are transportation related (transportation management, global trade management), where the "network effect" (i.e., carrier pooling, regulatory impact) can leverage both shared knowledge and existing connectivity along with sales and operations planning, demand signal management, and business intelligence/analytics. The concern that cloud is "risky" is increasingly taking a back seat to the perceived benefits of the technology. Indeed, those benefits, both achieved and anticipated, are significant, including cost, speed of implementation, and the ability to "consume" new capabilities and functionality easily and transparently.
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oracle, supply chain cloud, supply chain best practices, idc research, it management, knowledge management, data management
    
Oracle
Published By: SAS     Published Date: Mar 06, 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. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
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