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Published By: SAP     Published Date: Jun 30, 2011
This white paper explores why today's executives still lack the relevant information or data quality to make decisions in a timely manner. Inside, learn about the biggest decisions-making challenges facings modern businesses and three keys to achieving better data-driven decisions.
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sap, smbs, high-quality data, erp software solution, decision management, data visibility, data quality, corporate strategy, business activities, resource allocation, compliance, metrics, tec
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Newell Rubbermaid sought to reduce time and effort to access information. They wanted to simplify access to global sales data and financial metrics. They also wanted to accelerate report query performance and improve decision making. SAP was selected because they are a comprehensive software program from a single vendor. Read to find out more.
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sap, newell rubbermaid, data access, information management, technology, software, whitepaper, sales data, data management
    
SAP
Published By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, analytics, analytical study, visualization deployment, deployment, institute for analytics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores the challenges organizations have today in implementing a data governance program via an actual business case. It highlights SAS technology that can help you solve many of those challenges.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics
    
SAS
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS
Published By: Service Now     Published Date: Jan 26, 2018
Digital transformation (DX) has progressed well beyond the abundant hype predicting it to where it is now an existential concern for many enterprises. We are at an inflection point as digital transformation efforts shift from "project" or "initiative" status to strategic business imperatives. Growing enterprises, regardless of age or industry, are striving to become "digital native" in the way their executives and employees think, what they produce, and how they operate. IDC predicts that by 2021, at least 50% of global GDP will be digitized, with growth in every industry driven by digitally enhanced offerings, operations, and relationships, and that by 2020, investors will use platform/ecosystem, data value, and customer engagement metrics as valuation factors for all enterprises.
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Service Now
Published By: Splunk     Published Date: Sep 17, 2012
Read this analyst case study on how the Interac organization used Splunk to centralize and correlate monitoring data across its diverse IT landscape. Learn the details of how the Interac organization realized an annual ROI of over $500k.
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roi, business performance, data metrics, storage, data storage, data security
    
Splunk
Published By: Splunk     Published Date: Oct 15, 2012
Learn how security professionals are extending the use of Splunk with the Splunk App for Enterprise Security
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enterprise security, data security, enterprise data, database management, security metrics
    
Splunk
Published By: Splunk     Published Date: Oct 15, 2012
Visibility and cross-tier correlation for the largest virtual environments
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data management, virtualization, splunk, splunk app, vmware, performance metrics, data management
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
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devops, devops tools, continuous delivery, devops methodology
    
Splunk
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day One” challenges of deploying, managing and monitoring PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. An effective monitoring and logging strategy is critical for maintaining the reliability, availability, and performance of database environments. The second section of this eBook provides a detailed analysis of all aspects of monitoring and logging PostgreSQL: ? Monitoring KPIs ? Metrics and stats ? Monitoring tools ? Passive monitoring versus active notifications
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Stratoscale
Published By: Success Factors     Published Date: Jul 27, 2012
HR leaders hear lots of talk about "getting a seat at the table" among the leadership functions of an organization. But what does "getting a seat" really mean? Simply put, CEOs are demanding a more strategic approach in managing today's workforce needs, as well as in planning for future needs. As an HR leader, how can you take ownership of the talent strategy in your organization? It's time for you to find out. Talent can move the needle in your organization. By exploring six best practices that all HR leaders should follow, this complimentary guide shows you how to earn the respect of fellow business leaders. Download it today.
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success factors, sap, best practices, talent problems, talent strategy, talent management, business leadership, hr leaders, workforce management, hr services, talent data, hr technology, talent metrics, hr integration
    
Success Factors
Published By: Success Factors     Published Date: Jul 08, 2014
From data to intelligence in 5 simple steps. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, big data, intelligence, hr metrics, practical guidance
    
Success Factors
Published By: Success Factors     Published Date: Jul 08, 2014
Technology plays an integral role in enabling businesses to have access to insightful analytics. By providing metrics on core workforce facts, workforce financials, productivity and performance, talent development and succession and human capital risk, companies are able to identify those 10- 15 metrics most important to business goals. This will enable them to present the Board of Directors with a comprehensive and concise story of workforce capabilities. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, workforce data, boardroom, metrics, workforce facts, workforce financials, hr metrics, tecnhology
    
Success Factors
Published By: Success Factors     Published Date: Jul 10, 2014
From data to intelligence in 5 simple steps. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, big data, intelligence, hr metrics, practical guidance
    
Success Factors
Published By: Success Factors     Published Date: Jul 10, 2014
Technology plays an integral role in enabling businesses to have access to insightful analytics. By providing metrics on core workforce facts, workforce financials, productivity and performance, talent development and succession and human capital risk, companies are able to identify those 10- 15 metrics most important to business goals. This will enable them to present the Board of Directors with a comprehensive and concise story of workforce capabilities. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, workforce data, boardroom, metrics, workforce facts, workforce financials, hr metrics, tecnhology
    
Success Factors
Published By: SuccessFactors     Published Date: Sep 19, 2014
This white paper focuses on communicating metrics to the board of directors.
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workforce data, views on workforce management data, effective workforce management metrics
    
SuccessFactors
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