Published By: Cohesity
Published Date: Aug 09, 2019
Data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data.
This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide.
The enterprise data center has undergone several major shifts since the introduction of
computing as a business resource. Data centers have evolved from mainframes to client/server
to virtual servers, and then to being “software defned,” and fnally to their current state of disaggregation. Today, we sit on the precipice of the next major data center transition—the evolution
to an intent-based data center (IBDC) (Exhibit 1). Each transition saw the cost of computing
decrease and the importance of the network increase, and each enabled organizations to boost
the efciency of their data center operations and improve asset utilization—ultimately leading to a
better experience for users
Published By: Datalink
Published Date: Jun 01, 2012
This white paper looks at the benefits of data center virtualization and addresses both public and private cloud strategies. The paper reviews the necessary steps in the evolution and how to successfully put those steps into motion.
Published By: Datalink
Published Date: Jul 27, 2012
If it's not already, data center virtualization should be a key component of every IT organization's strategy. This white paper looks at the benefits of data center virtualization and addresses both public and private cloud strategies.
The paper reviews the necessary steps in the evolution to a virtual data center--ranging from aligning with virtual storage to managing your cloud--and highlights how to successfully put those steps into motion.
Join Jive and Rajat Paharia -- "the father of gamification" -- for a discussion on how to better motivate, engage, and create true loyalty.
Jive is digging into the hottest books in the social collaboration space. Join the Jive Book Club for exclusive invites to webinars with the authors, an invite to the Jive Community group to share your thoughts with your peers and the chance to win prizes – you might even learn something new!
Their first selection is Loyalty 3.0: How Big Data & Gamification are Revolutionizing Customer & Employee Engagement by Rajat Paharia — the “father of gamification.”
Loyalty 3.0 is a Wall Street Journal and New York Times best-seller that cracks the code on the ways big data and gamification can motivate, engage, and create true loyalty your customers, employees, and partners.
Published By: MuleSoft
Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture.
Read this whitepaper to learn:
-Data management challenges in financial services
-Best practices to manage data in financial institutions
-Integration strategies for optimal data management
IBM Multiform Master Data Management manages master data domains - customers, accounts, products - that have significant impact on the most important business processes and realize the promise of Service Oriented Architecture (SOA). IBM is the only vendor that delivers an integrated MDM product with significant out-of-the-box functionality for each MDM usage style - collaborative, operational and analytical - across multiple data domains, thereby managing the complete data lifecycle.
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.
Published By: Varonis
Published Date: Feb 05, 2014
Varonis has conducted several surveys over the last year, and the results indicate that most organizations recognize they need to do a better job securing their own data, and a much better job securing your data. The most disturbing discovery, though, is that in large numbers they lack the fundamental controls necessary to ensure safe digital collaboration.
In this white paper, we recap notable trends and events in information security from 2014 and look forward to what information security professionals should expect in 2015. The past year was a landmark one in the information security field, with massive data breaches capturing the public’s attention, powerful bugs causing headaches for IT teams and end users, DDoS attacks breaking records, and phishing remaining a general annoyance – or worse – for all Internet users. In this whitepaper, we discuss these trends as well as key areas of concern for 2015, including:
- The impact of the Internet of Things
- The growing importance of threat intelligence
- The increasing influence of BRICS nations
- The evolution of encryption standards
- The changing role of the CISO
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack.
In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
Maximize go-to-market initiatives with SAP
To succeed in today’s hypercompetitive environment, consumer products companies need greater speed and agility. See how SAP C/4HANA solutions can help you synchronize activities across your modern trade and direct-to-consumer efforts – and ultimately bring you closer to your consumers. Grow your brand and your market share with an intelligent strategy.
The Crossover Effect: Positioning Consumer Products Companies for Growth
Learn how SAP empowers consumer products companies to improve customer experience and leverage new types of data, digital capabilities, and success measures to drive growth.
? Join the Direct-to-Consumer Revolution
Learn about how SAP Customer Experience solutions enable consumer products companies to get closer to the consumer than ever before.
? Henkel Drives Sales Innovation with SAP Trade Management
Martin Reinicke of Henkel Beauty Care shares how the SAP Trade Management solution helps the company adapt to rapid m
"Report: 2019 Predictions for Customer Data Management
Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019?
In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace.
Forecasts for the future of data protection and consumer privacy regulations
Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms
New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
Published By: Jobvite
Published Date: Aug 25, 2016
This explosion in the amount of information is similar to the boom the marketing world saw in the early 2000’s with the introduction of customer data. Now that recruiters finally have access to the same types of information as marketers, it’s becoming more clear that recruiting is marketing. Whereas the marketing world immediately saw the value in this data and latched onto technologies that could leverage the information, the recruiting world is just catching up. The proliferation of CRMs has revolutionized marketing and business development. Creating and maintaining relationships has always been part of a sound business strategy, but that nebulous process has now been operationalized through software like Salesforce. There is a reason the CRM software market has boomed to over $20 billion...it works. Personalizing the process to maintain constant contact and build relationships has been shown to be extremely effective in converting leads to sales.
Based on data from more than 200 organizations in Brandon Hall Group’s 2014 Workforce Management Study, this paper reviews the evolution of time and attendance, the impact of automation and integration, and the key role time and attendance solutions play in managing and measuring today’s workforce.
Noted author Jim Metzler reports on the emergence of vWOCs, or virtual WAN Optimization Controllers. From the data center to the branch, virtualization is enabling a revolution in how WAN optimization is acquired and deployed. Whether combined with traditional physical appliances or fully virtualized, the new choices make universal network optimization a reality.
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
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
This document describes Cisco HyperFlex™ HX Data Platform
Software, which revolutionizes data storage for hyperconverged
You’ll learn about the platform’s architecture and software-defined
storage approach, and how you can use it to eliminate the storage silos that complicate your IT infrastructure.
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday.
The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
The data center has gone through many major evolutionary changes over the past several decades, and each change has been defined by major shifts in architectures. The industry moved from the mainframe era to client/server computing and then to Internet computing. In 2011, another major shift began: the shift to a virtual data center. This has been the primary driver in enabling customers to transition to the cloud and ultimately IT as a service. The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
CIOs are on a constant quest to understand what infrastructure will provide the best fit, at the lowest risk and cost. In today’s evolving data center, defining the proper use of data center assets, and how cloud-based platforms may or may not fit into the mix is critical to business success. With the abundance of cloud offerings in the market place, physical infrastructure is no longer an enterprise IT requirement. Cloud has established itself as an excellent option for infrastructure outsourcing.