Published By: Workday UK
Published Date: Sep 18, 2018
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used.
And the results are in. 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors.
As well as outlining the key opportunities leaders can capitalise on, this report covers:
- How different professions are using people data
- The various types of people data that are being used
- How people analytics adds value to organisations
- What the future holds for people data
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach.
VSI tested the lane keeping system with and without map data on a local road in 3 scenarios:
Lane lines expanding into a turn or exit lane
An intersection without lane lines
A widening in the lane
The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems.
This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017
Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017
Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.”
As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics.
Download this report to learn:
2017 rankings of performance analysis software vendors, overall and subsegments
How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences.
Download the e-book to learn how:
Micron Technology reduced number of IT incidents by more than 50%
Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events
TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset.
As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics?
This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization.
Download your copy to learn how to:
Achieve end-to-end-visibility throughout cloud migration
Find trends and root cause faster with automated investigations
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease.
Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed.
Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn:
• How to generate relevant, actionable insights from any data, anywhere
• Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud
• How to
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
Published By: Mindfire
Published Date: May 07, 2010
In this report, results from well over 650 real-life cross-media marketing campaigns across 27 vertical markets are analyzed and compared to industry benchmarks for response rates of static direct mail campaigns, to provide a solid base of actual performance data and information.
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
Culture has become one of the most important business topics of 2016. CEOs and HR leaders now recognize that culture drives people's behavior, innovation, and customer service: 82 percent of survey respondents believe that "culture is a potential competitive advantage." Knowing that leadership behavior and reward systems directly impact organizational performance, customer service, employee engagement, and retention, leading companies are using data and behavioral information to manage and influence their culture.
Midsized firms operate in the same hypercompetitive, digital environment as large enterprises—but with fewer technical and budget resources to draw from. That’s why it is essential for IT leaders to leverage best-practice processes and models that can help them support strategic business goals such as agility, innovation, speed-tomarket, and always-on business operations. A hybrid IT implementation can provide the infrastructure flexibility to support the next generation of high-performance, data-intensive applications. A hybrid foundation can also facilitate new, collaborative processes that bring together IT and business stakeholders.
For the typical enterprise, the volume of data that needs to be managed and protected is growing at roughly 40% per year. Add to that the performance requirements of new applications and the demands for instant response time, always-on availability, and anytime-anywhere access. With such demands, data center managers face storage challenges that cannot be addressed using traditional, spinning-disk technology.
Very little data is available on how effectively enterprises are managing private cloud deployments in the real world. Are they doing so efficiently, or are they facing challenges in areas such as performance, TCO and capacity? Hewlett Packard Enterprise commissioned 451 Research to explore these issues through a survey of IT decision-makers and data from the Cloud Price Index.
Pour une entreprise type, le volume de données devant être gérées et protégées augmente d'environ 40 % par an. Ajoutez à cela les exigences de performances des nouvelles applications, de temps de réponse instantanés, de disponibilité continue et d'accès en tout lieu et en tout temps. Avec de telles exigences, les responsables des datacenters sont confrontés à des défis de stockage qui ne peuvent pas être relevés à l'aide de technologies de disques rotatifs traditionnelles.
Published By: HPE Intel
Published Date: Mar 15, 2016
Accelerate your journey to an all-flash data center with Hewlett Packard Enterprise Storage Consulting solutions.
Slash costs and double performance with HPE 3PAR StoreServ All-flash arrays. Now you no longer need to choose which apps to take to flash; take them all and you won’t regret it. We deliver maximum performance, highest availability, Tier-1 data services, ease of management, and robust data protection at the lowest total cost of ownership (TCO) on the market when you engage with HPE Storage Consulting to provide an end-to-end all-flash solution.
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
Business users expect immediate access to data, all the
time and without interruption. But reality does not always
meet expectations. IT leaders must constantly perform
intricate forensic work to unravel the maze of issues that
impact data delivery to applications. This performance
gap between the data and the application creates a
bottleneck that impacts productivity and ultimately
damages a business’ ability to operate effectively.
We term this the “app-data gap.”
Published By: Broadsoft
Published Date: May 25, 2017
This whitepaper is for contact center management and business executives looking for ways to optimize the business performance of their contact center.
• If yours is an existing contact center with infrastructure that has been built up over the years, this whitepaper provides bestpractice steps to break down the resulting data silos, unify them, and optimize your contact center for business performance.
• If yours is a new contact center and you have the opportunity to build your infrastructure from the ground up using modern technologies, this whitepaper will provide best practices to prevent building data silos.
Published By: Equinix
Published Date: May 28, 2015
This infographic provides information on how Performance Hub is designed to improve the performance of your entire network while simplifying your infrastructure and lowering your Total Cost of Ownership.
Protecting your business-critical applications without impacting performance is proving ever more challenging in the face of unrelenting data growth, stringent recovery service level agreements (SLAs) and increasingly virtualized environments. Traditional approaches to data protection are unable to cost-effectively deliver the end-to-end availability and protection that your applications and hypervisors demand. A faster, easier, more efficient, and reliable way to protect data is needed.
Too irrelevant to the team leader.
Such are the complaints heard repeatedly about Performance Management and Engagement systems.
And these don’t even touch on the biggest problem of all: current systems produce a tidal wave of unreliable data. The ratings they yield are based on the notion that, with enough time and training, managers (and peers) can become reliable raters of other people’s skills and competencies. Sadly, that’s not true. A large body of research reveals:
61% of your manager’s rating of you is a reflection of the
manager, not of you. Your organization, apparently unaware of this, then persists on paying you, training you, and promoting you—and everyone else in the organization—based on these flawed ratings.
The Marcus Buckingham Company, an ADP Company, commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying StandOut. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of StandOut on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed several customers with experience using StandOut. StandOut is an integrated suite that pairs a technology platform with coaching to help organizations achieve their talent activation goals.
Prior to using StandOut, the interviewed organizations did not have a structured program to improve and measure employee engagement and performance. Organizations used annual surveys and annual performance reviews, and some even encouraged weekly check-ins, but there was no guidance on how to complete these tasks, and the data t
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