The adoption of enterprise content collaboration solutions has exploded as individuals sought ways to easily access, manage, and collaborate on content. Accordingly, businesses want to leverage those easy-to-use solutions but can’t compromise when it comes to enterprise-grade administrative control, security, and business insights.
Today’s increasingly competitive global economy requires businesses to make decisions faster than ever. Businesses need instant insight into the status of their people and processes. But manual, paper-based processes undermine decision-making. Paper makes it difficult for businesses to make smart decisions about their operations and their working capital. Manual processes also are costly and inefficient, create headaches for front-line staff, introduce compliance and security risks, and stymie collaboration with trading partners.
Published By: Oracle ODA
Published Date: Aug 15, 2016
Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance.
But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock.
If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects.
Get the analysis you need to choose the best Solid-State Arrays for your business.
Gartner names Pure Storage a leader in the 2018 Magic Quadrant Solid-State Arrays 5 years in a row.
Download the report and gain insights into:
The flash storage futures market overview
Gartner’s evaluation of vision, strengths and cautions for each vendor
Why Pure Storage was named a LEADER
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
Published By: Workday
Published Date: Jul 19, 2017
It is an exciting and challenging time for CFOs as their role continues to evolve in a dynamic, everchanging business environment. To keep up with the pace of change and steer their companies toward growth, CFOs need to focus on strategic value and how they can support the broader organization. Driving growth, contending with an ever-evolving regulatory environment, delivering deeper and more-strategic business insights, and staying agile as demands change requires a new kind of finance organization. All of this change will continue to lead CFOs to look inward at their finance systems and evaluate if they can help support business demands today and in the future.
Published By: ServiceNow
Published Date: Oct 22, 2018
A single outage can be the thread that causes business services to unravel. Can you quickly identify the root cause of an outage and its impact on your business? See how ServiceNow helps customers seamlessly connect their IT infrastructure to transform the customer experience for business stakeholders.
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics.
Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.
There are so many opportunities for businesses to collect data that getting a clear picture of all of it can be an uphill battle—and leveraging it for insight can be nearly impossible. But whether you are a start-up or a multinational conglomerate, not taking advantage of the available data is a mistake you cannot risk making. According to a 2016 McKinsey & Company study, over the past three years, digital leaders have achieved revenue growth five times greater, an operating margin profit eight times greater, and a return to shareholder value two times higher than laggards.
Companies today need a closed loop system that combines data, insight, and action. Download this paper to learn about the goals of a system of insight (SOI), the common set of technologies that all systems of insight need, and how an SOI can make a difference in your business.
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.
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights.
Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights.
You’ll learn about:
*The critical role AI and machine learning play in finding answers
*How data is the fuel for your machine learning and AI-powered initiatives
*The ways in which AI and machine learning are being applied today to bolster IT operations and security
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
Published By: Trifacta
Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.
Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.
In this recorded webinar you will learn:
• Where does data preparation fit within DataOps
• What are the key technical & business differentiators of data preparation solutions
• How to align the righ
Published By: Attunity
Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation.
Read Increase Data Lake ROI with Streaming Data Pipelines to learn about:
• Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud.
• Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store.
• Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights.
Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Published By: Rackspace
Published Date: Feb 12, 2019
In today’s digital world, technologies such as cloud have become commonplace to take digital transformation projects to the next level. But while cloud is critical to business transformation success, Australian IT decision-makers (ITDMs) still feel that the C-suite does not understand the time and complexity of the journey.
This paper explores:
• Insights on challenges faced by Australian ITDMs when rolling out cloud projects
• The role of the ITDM today
• Key blockages IT stakeholders encounter when driving digital change, and;
• What they need from the business and wider technology ecosystem to navigate the risks associated with starting a cloud project or moving to a full cloud-first model.
Published By: Salsify
Published Date: Mar 15, 2019
Branded product pages on the digital shelf have become incredibly important both as a sales and marketing channel. For that reason, most brands are putting time and resources into improving the content of their product pages. But how exactly does content impact the numbers every business relies on? Read this report to get deep statistical insights on how product page content impacts search ranking, online market share, and sales overall.
This study includes a range of analyses to help you quantify the actual sales value of your brand's product content using a variety of methodologies, including:
An analysis of more than 500,000 Amazon search results pages
A full-year examination of 60,000 Amazon product pages across 78 brands working with Salsify
Data and stories from individual Salsify customers that invested in product content optimization
Salsify is the product experience management platform for thousands of brands and retailers worldwide.
In this InfoBrief, we discuss the broad impact of digitization and how organizations are utilizing RPA technologies for driving business outcomes.
We also share use cases and examples from different sectors, as well as key factors that organizations need to consider when selecting a partner for RPA deployment.
Since RPA is the latest buzzword, there is a lot of noise around this topic and we aim to filter the noise and provide key insights, as well as offer essential guidance for successful RPA strategies.
All-flash storage is on a strong growth trajectory, but the industry is not swooning naively over the blazing fast I/O speeds. Most IT managers are talking a mature, step-by-step approach to all-flash adoption. Falling per-gigabyte prices are making the technology more commonplace. Solid state drives are no longer just for specialized, high-performing tasks. Before they leap, however, storage professionals want to understand the full business picture as they formulate a winning strategy for putting all-flash storage to use for more workloads.
This paper offers insights for business success with all-flash storage based on IT Central Station reviews. Real users weigh in on what it takes to get the most out of the technology. It covers such aspects of flash storage as the need for simplicity and the importance of flexibility. The paper also looks at how to build a business case for all-flash and think through the implications of issues such as integration with existing infrastructure.
Published By: Riskified
Published Date: Aug 06, 2019
This report addresses the challenges fashion retailers face as they try to secure long-term online revenue growth in a highly competitive business environment. It explores ways for meeting customers’ increasingly sophisticated expectations, including how to optimize the eCommerce shopping journey and safely expand across channels and borders. Inside you’ll find insights on:
It has to be quick and easy for people to pay. At the same time, fraudsters are probing the weaknesses of new digital processes.
As the person who can decide whether a transaction is accepted or rejected, fraud managers have a pivotal role. They’re not just preventing losses from chargebacks. They’re gatekeepers to accepting more revenue. It’s a complex job. But get it right, and they enable their business to engage customers better – across devices and places. And that can mean supporting the very growth of the business. In this landscape, the idea that a technology like machine learning might be the answer to all the industry’s needs is attractive. But while machine learning should be a key part of an effective fraud strategy, the truth is that there’s no silver bullet. So, in this paper, we’ll look at how best to put machine learning to use. By employing it in tandem with expert insight, merchants can use it to accept the optimal number of payments. And make a direct impact on the
The modern credit department is playing an expanded role in supporting sales and driving business growth. Traditionally, credit departments have focused on identifying potentially poor customers, thereby reducing losses and mitigating risks. Although this remains a critical function, credit departments also possess a wealth of data that can be mined to identify new business opportunities. With the help of new technologies, credit can work with sales departments by tapping into customer data and sharing insights for increasing sales. Download this white paper to learn more!
Take the mystery out of business credit data
The modern-day explosion in data has presented new challenges for interpreting financial reports to uncover meaningful insight. We often struggle to be efficient with the resources we have and the data we use to make our decisions, whether we’re talking with a new customer or an existing one.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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