Today, ERP is a cornerstone of many organisations’ tech infrastructure. Yet many of the solutions in play are legacy products, decades old and designed for an entirely different business landscape.
With industry leaders expressing concern that out-of-date ERP solutions have now become an impediment to competitive business, IDC set out to uncover what exactly modern companies need from their ERP systems, and why SAP S/4Hana seems so well placed to deliver.
Discover HPE OneSphere, a hybrid cloud management solution that enables IT to deliver private infrastructure with public-cloud ease. With the proliferation of self-service, on-demand infrastructure, enterprise developers have come to expect infrastructure as a service. However, the constraints of existing infrastructure and tools make this mean heavier workloads for IT teams.
What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Download to find out more now.
Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
To remain competitive, executives must embrace change and equip employees to do the same. Conrad Electric, a 95-year-old online retail company, took just 4 months to migrate to G Suite, providing 4,000 of their employees with more transparent and agile collaboration capabilities. Read this Google Cloud report and get insights to creating a culture where people — combined with productivity tools — can reach their full potential.
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.
In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
Recorded Feb 5 2018 49 mins
Steve Feloney, VP Product Management CA Technologies
Welcome to the very first edition of Modern Monitoring, a collection of articles and insights designed to help IT operations and DevOps professionals deliver more resilient, supportable and high-performance IT services.
It’s perhaps a sign of the times that monitoring as a discipline is receiving much more attention within the biz tech community. And deservedly so. The new distributed application architectures being built, together with the dizzying pace of software delivery, demand new approaches in what’s traditionally been perceived as a “keeping the lights on” IT practice.
Of course, there’s no better way to consider monitoring than to draw parallels with other practices in related fields. It’s why we’ve included a couple of pieces with a distinct aeronautical flavor that discuss importance of instrumentation and contextual awareness.
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems!
We look at the key skills and tools required in Modern monitoring and analytics:
-Full Stack Visibility
-Data- Driven Insights
Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
With urbanization set to increase rapidly – the UN predicts that by 2050, 68% of the world’s population will live in urban areas – discover how, with HERE, you can keep your city moving. And make it more safe, efficient, and green.
HERE is already working with governments around the world to keep traffic flowing and pollution down. In this guide, discover how, with our growing network of sensors and over 30 years’ experience, we can deliver the real-time insights to keep you abreast of what’s actually happening on your roads, so you can better meet government safety and mobility targets.
In September 2017, Akamai commissioned Forrester Consulting to examine how companies approach digital experience and digital security. A survey of over 350 IT executives around the world found that:
? Customer trust is at an all-time low and it’s hurting growth
? Executives are aware that customer trust is becoming critical to success
? Companies struggle to balance security with digital experience
? Failure to deliver on security impacts brand reputation, customer trust, and revenues
This report, Drop A Pin At The Intersection Of Digital Experience And Security, shares insights into these findings and what sets top digital businesses apart.
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
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
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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
Experience IBM Watson Order Optimizer
How can retailers efficiently leverage inventory from one channel to serve another without breaking the bank?
See how IBM Watson Order Optimizer helps Fulfillment, Operations, and Inventory:
Gain a holistic view of omni-channel operations across different functional areas
Optimize in real-time against multiple, competing business objectives
Utilize inventory at its most profitable price point
Make better fulfillment decisions with cognitive insights
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data.
Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results.
Watch this webinar to learn how to use IBM Cognos Analytics to:
· Create the important elements of a good story
· Put the data in context
· Select the best type of ch
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT?
View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT.
With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization.
Don’t miss this opportunity to hear how you can:
* Benefit from advanced analytics without the complexity
* Operationalize insights and dashboards from a collection of trusted data sources
* Tell your story with rich visualizations and geospati
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
Constant market shifts and changing customer preferences add to the challenge of
outperforming your competitors and surpassing stakeholder expectations. But what
can be done to steer your organization down the path to greater success?
By now, we all know it’s not just historical reporting about the past that will provide the
answers needed to drive a business forward. Everyone – from executives and analysts
to frontline staff – must have access to insights about the future that will enable them to
make the best decisions and take the actions needed to keep their organizations agile.
This means the ability to peer into data, explore it, understand it, analyze it and produce
insights that provide those aha moments and take actions on it. Such things cannot be
done with multiple tools that are rigid, limiting and difficult to use. A new breed of
business intelligence is required.
Gone are the days when reports looked at singular issues, took possibly days or weeks
to create, and required
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability.
I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
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