Published By: MobileIron
Published Date: Aug 20, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data.
Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales.
Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
"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
Published By: MobileIron
Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security
architecture that protects cloud data at the endpoint. Enterprise computing
architectures have changed fundamentally in the last ten years, as employees
consume an ever-growing collection of business cloud services through mobile
apps. The traditional security approach of network perimeter and locked-down
endpoints is not suitable for this app-to-cloud model of modern work.
Published By: Tableau
Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excel’s data collection and management capabilities with Tableau’s intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet.
Read more at about this partnership.
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum?
Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found:
New customer segments open thanks to lower adoption and operating costs.
With less complex infrastructure under SaaS, customer TCO drops.
ISV products improve with value-added cloud services and SaaS data capabilities.
Financial predictability improves with recurring revenue model.
New pricing models aligns ISV value to customers’ business needs, driving increased revenue.
Additional, significant operational benefits from switching to a SaaS model.
Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs.
The collection of product usage data increases the speed of product development by 33%. –
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
As IT becomes the cloud, and ever more central to business success, projects to transform the IT systems, and more specifically the data center, have become strategic and a competitive differentiator. A crucial piece of the data center transformation puzzle, and one which is too often left until the end, is the network. As the central nervous system of the data center, its transformation must be an integral part of the entire data center transformation project.
THE FUTURE IS WHAT YOU MAKE IT. Juniper Networks creates innovative technologies to help customers connect their ideas, compete, and thrive in an ever-changing world. Partner with Juniper Networks and start creating the road map to your future-ready network.
VISIT JUNIPER.NET/UNITE TO START LOOKING TOWARD THE FUTURE, TODAY.
Supporting multiple internal clients and all of their requirements for testing and production networks in more than 1,000 cities around the world—these are the unrelenting challenges for the 12 brands that comprise eBay Classifieds Group. Activating new platforms and features can take a lot of time; with the Juniper solution, turnaround time has been reduced to a few hours—sometimes less—which helps eBay Classifieds turn innovation into a real competitive advantage every single day.
The broad adoption of the next generation of cloud, mobile, M2M, and big data applications is having profound impacts on IT and network infrastructures. Compared to traditional applications, these applications have much shorter life cycles. You must be able to spin them up, spin them down, and grow and shrink them on demand. Furthermore, you must be able to move these application workloads within a data center or across geographically distributed data centers, resulting in increased management complexities.
The primary purpose of containerized applications is to improve the effectiveness of software teams, making it easier for people to work together while lowering the communications overhead. In large enterprises, applications such as ERP or CRM software suites often begin as simple projects, but as time passes, they quickly become clunky and inefficient, with a monolithic code base that slows progress for development teams.
eBay Classifieds supports multiple internal clients and all of their requirements in more than 1,000 cities around the world. The company adopts cloud and virtualization services to get to market faster with new features, services, and campaigns using Juniper Networks Contrail Networking, Contrail Cloud Platform and QFX5100 Switch.
Cloud computing and all-flash storage are two of the most important innovations driving next-generation IT initiatives. While it may seem at first that these are parallel trends, in reality they are inextricably intertwined. Without the benefits of all-flash storage —driving new levels of performance, agility and management simplicity — enterprises would not be able to modernize their infrastructures to deliver cloud services. It is no coincidence that the largest hyperscale cloud providers rely on all-flash storage solutions as their storage foundation.
Pure Storage all-flash storage arrays provide enterprise customers with a safe, secure and smooth path to the all-flash cloud. You can take the journey in stages, starting small with a single application or two, and then adding more applications through consolidation and virtualization. You can also implement multiple stages at once.
Storing data is critical. Everyone stores data. Today, it’s all about how you use the data you’re storing and if you’re storing the right data. The right mix of data and the ability to analyze it against all data types is driving markets worldwide in what is known as digital transformation.
Digital transformation requires storing, accessing, and analyzing all types of data as fast and efficiently as possible. The end goal is to derive insights and gain a competitive advantage by using those insights to move faster and deliver smarter products and services than your competition.
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 analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
Published By: Microsoft
Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
Published By: Microsoft
Published Date: Oct 06, 2017
In jeder Geschichte gibt es eine Wahlmöglichkeit: A oder B, wahr oder falsch, sein oder nicht sein. Bei Daten ist es genauso. Sollen Ihre Daten in einer Public Cloud, einer Private Cloud oder lokal gespeichert werden? In welcher Sprache sollen Sie Ihre Anwendungen schreiben? Auf welcher Plattform sollen diese Apps ausgeführt werden?
SQL Server 2017 erspart Ihnen diese schwierigen Entscheidungen – genauso wie Optionen, die Ihre Produktivität einschränken könnten. Verwenden Sie die Sprache Ihrer Wahl auf der Plattform Ihrer Wahl, lokal oder in der Cloud.
What is your Analytics Maturity?
An 'Army of Analysts' can be very powerful.
The problem, of course, is that as your organisation scales, and more data requests come in, you’ll constantly be hiring more analysts (and that gets expensive!).
Download this infographic to discover what your analytics maturity is, and how to move from an 'Army of Analysts' to a more efficient, scalable model.
Our active and actively aging population is the dichotomy
fueling significant growth for implantable medical
devices. Innovations focused on mobility, engagement and
quality of life are directly targeting this growing population.
The implantable medical device industry is poised to capitalize on these unique needs, while simultaneously
meeting unprecedented cost pressures. It is time for manufacturers to seek expertise in inventory management
and logistics for greater visibility, control and profitability.
For implantable medical device manufacturers to be as active and healthy as the patients they serve, their
future depends on the ability to differentiate products — not only by price, but through cost, service and
documented outcomes. New trends in personal health tracking keep patients moving, and data collection
will similarly improve the health of your business.
To maximize the benefits of its next-generation systems and successfully execute its information strategy, CU had to overcome its aging network. Most of CU’s network infrastructure, which was built from solutions by another vendor, was introduced in 2007, when its computing center was first built. Over time, the equipment began to fail, affecting the stability of applications which relied on network connectivity. Technical support also became a major issue as the equipment faced obsolescence and maintenance contracts with vendors expired.
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
Illinois-based manufacturer Plano Molding sought to replace a paper-and-pencil data collection process with an automated manufacturing execution system (MES). They wanted a real-time look at production data. Many of their decisions were made based on observations and guesses rather than facts, and they needed deeper insights.
To improve shop floor efficiency and anticipate and solve production issues before they occurred, Plano Molding implemented the Epicor Mattec MES system. The insights they gained into the shop floor are helping to drive bottom-line growth.
Plano Molding has also seen significant scrap savings. Rather than focus on scrap percentage, the Mattec MES solution allows them to focus on higher-dollar-value products. This has led to the Plano Molding team saving $700,000 in scrap improvements.
Read the success story to learn more about Plano Molding’s experience and consider how your business might benefit from a modern production system like Epicor Mattec MES.
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates.
Use PLM Analytics to:
• Gain actionable insight and valuable intelligence
• Dramatically boost business value and improve project management performance
• Reduce error-prone behavior like manual data collection
• Leverage big-data capabilities and project intelligence
Learn how to extend the value of your PLM investment and improve business performance for your company.