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.
On-demand webinar published by eMarketer
Marketers are using more location data than ever, but consumer privacy concerns and an evolving regulatory landscape have raised new challenges. There is a need for more consideration and transparency about collecting and using geolocation.
Watch this webinar to learn about:
• The various ways marketers are using location data today
• How consumers feel about location sharing
• How new government regulations may impact data collection
Besides the two eMarketer Analyst, Hervé Utheza, Head of Media, Advertising & Telco at HERE Technologies joins the conversation and gives valuable insight on how to improve campaign performance through real world geometry.
View the webinar now on demand.
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
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.
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.
Financial reporting teams, often led by Controllers, face mounting pressure to provide accurate, useful, and timely data, while also decreasing turnaround time and costs. Regulatory agencies don’t care if an organization is short of staff or if its financial management system amounts to a collection of spreadsheets.
Published By: Teradata
Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online.
To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
Published By: Teradata
Published Date: May 02, 2017
Constellation Research presents case studies of two companies that cut costs, gained flexibility, and eased administration by adding cloud data warehouse capacity to their on-premises environment.
Both of these deployments:
• Solved problems and yielded expected and unexpected benefits
• Required some adjustments to administrative processes and expectations
• Led to hybrid architecture as being an invaluable aspect of their respective data warehousing strategies
Download the case studies now to explore each company’s journey, understand recurring themes, and walk away with actionable insights.
The Bakken is a very large hydrocarbon-bearing subsurface rock formation underneath a large portion of the Williston Basin in North Dakota, Montana, Saskatchewan and Winnepeg. The Bakken has been the scene of many advancements in drilling technology – horizontal drilling, pad drilling and downspacing, to name a few. This first Edition of the DI Expert eBook by Drillinginfo, the premier provider of data and insights for oil and gas exploration decisions, is a collection of articles posted by our staff of engineers, analysts and geologists about the Bakken over the past year.
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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: 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.
"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
Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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.
Published By: TeamQuest
Published Date: Sep 04, 2014
Enterprise Holdings (EHI) is the corporate parent of Enterprise Rent-A-Car, Alamo Rent A Car, National Car Rental and Enterprise CarShare. With annual revenues of $16.4 billion and more than 78,000 employees, EHI and its affiliates own and operate almost 1.4 million cars and trucks. This makes it the largest car rental service provider in the world measured by revenue, employees and fleet.
Published By: Diligent
Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms.
Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
Published By: Clearswift
Published Date: Jun 09, 2008
Every enterprise has to find a balance between security and the ability to carry on conducting business freely. This short guide is about finding that balance. By following some basic principles, there's no reason you can't let legitimate business email move into, out of and within your enterprise while stopping the things that cause damage: viruses, spam, spyware, trojans, phishing, Denial of Service attacks, the loss of sensitive data and the collection of illegal, immoral and just plain offensive material.
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).
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.
An Enterprise Resource Planning (ERP) system is a series of software applications or modules that collects data from your sales, purchasing, finance, inventory, supply chain, manufacturing and quality functions into a common database so that your company can share the information, coordinate activities and collaborate.
If you’re looking for your first ERP system or looking to upgrade from an existing system, the evaluation, selection and implementation process is a long-term strategic decision for your organization.
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.
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