Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data value

Results 201 - 225 of 584Sort Results By: Published Date | Title | Company Name
Published By: Schneider Electric     Published Date: Nov 17, 2016
Today’s data center power and cooling infrastructure has roughly 3 times more data points / notifications than it did 10 years ago. Traditional data center remote monitoring services have been available for over 10 years but were not designed to support this amount of data monitoring and the associated alarms, let alone extract value from the data. This paper explains how seven trends are defining monitoring service requirements and how this will lead to improvements in data center operations and maintenance.
Tags : 
schneider electric, digital remote monitoring, data center operations, maintenance, enterprise applications, infrastructure
    
Schneider Electric
Published By: Red Hat     Published Date: Sep 25, 2014
As a strategic partner in your business, you face increasing demands from your line-of-business leaders for new functionality and advanced capabilities, which you must deliver with a constrained IT budget. What could you do to meet these expectations and add value to the business if you could contain costs, increase operational efficiency, and do more with less? You need to overcome several challenges. The cost of software licensing management is rising as a result of maintaining proprietary platforms or legacy technology, making it difficult to modernize your datacenter and migrate to more cost-effective solutions. You’re likely burdened by regulatory compliance mandates, which create enforcement, reporting, and auditing expenses. And, like 67% of IT organizations, your budget is probably shrinking. Red Hat can help. Red Hat® Enterprise Linux® gives you the high-value subscription model, built-in governance processes, and simplified migration path you need to aggressively lower your
Tags : 
increased demands, functionality, software licensing management, proprietary platforms, legacy technology, datacenter, it organization, it management, enterprise applications
    
Red Hat
Published By: Delphix     Published Date: May 28, 2015
A new generation of tools is bringing agility to components of IT operations . Learn how recent advancements in agile data management, data virtualization, and data masking are combining to help companies achieve previously unachievable breakthroughs in IT security and risk management. Starting with a technical dive into data masking and the key concepts surrounding “virtual data”, this eBook also leverages exhaustive industry research and company surveys to translate the business value associated with these solutions.
Tags : 
    
Delphix
Published By: HP     Published Date: Feb 02, 2015
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
Tags : 
    
HP
Published By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
Tags : 
    
MarkLogic
Published By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
Tags : 
finance, investment, big data, cloud computing
    
Oracle EPM
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
Tags : 
    
Waterline Data & Research Partners
Published By: Looker     Published Date: Dec 03, 2015
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI
Tags : 
    
Looker
Published By: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
Tags : 
    
Looker
Published By: IBM     Published Date: Oct 21, 2016
The greatest challenge of the big data revolution is making sense of all the information generated by today's vast digital economy. It's well enough for an organization to collect every slice of data it can reach, but how does it extract value from this massive volume of information?
Tags : 
ibm, analytics, data science, data, big data, aps data, aps, enterprise applications, data center
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
Tags : 
ibm, analytics, aps, aps data, open data science, data science, word2vec, enterprise applications, data center
    
IBM
Published By: Veritas     Published Date: Apr 06, 2016
Data protection has never been more in the forefront, as information increasingly is the lifeblood and differentiator in a constantly changing world. As the leader we see across the enterprise, which helps solve the larger information management problems that come from accelerating digital business. Keep up with the latest trends and use the following tips to maximize the value of your data protection investment —meeting more demanding SLAs, simplifying management across a complex IT environment, and reducing costs— so you can free up resources to innovate and create business value. Download this whitepaper to learn 8 tips to stay ahead of the top 2016 data protection trends.
Tags : 
    
Veritas
Published By: Veritas     Published Date: May 12, 2016
Nearly 70% of all stored data contains no legal, regulatory, or business value. Intelligence about your information’s age, location, and ownership provides the roadmap to effective decision-making.
Tags : 
    
Veritas
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
Tags : 
    
Oracle
Published By: OpenText     Published Date: Jun 28, 2019
Integration Technologies Should Reduce The Burden of Data Integration and Management Digital transformation has multiplied the number of packaged applications and the interfaces that support them. It also requires a greater agility from businesses to follow growing customer demands for value, innovation, and new and improved digital interactions. This means that interfaces must constantly evolve to support the continuous integration and continuous delivery (CI/CD) of systems of engagement. These applications are under pressure from customer experience, employee experience, and the required operational excellence of automation systems.
Tags : 
    
OpenText
Published By: IBM     Published Date: Jan 18, 2017
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
Tags : 
ibm, aps data, data science, open data science, analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Data matters more than ever to business success. But value does not come from data alone. Rather, it comes from the insights enabled by data. No matter what your role is, or where you are in your data journey, you are looking for ways to drive innovation.
Tags : 
ibm, analytics, aps data, open data science, data science, apache spark, enterprise applications
    
IBM
Published By: IBM     Published Date: May 22, 2017
An investment firm is only as good as its data and its ability to leverage that data to make smart trades. A firm’s ability to differentiate itself in meeting market needs and bringing new products to market all hinge on its ability to squeeze maximum value out of all available data. But when it comes to implementing the right technology and processes to support a data-reliant business, those three factors present tremendous challenge
Tags : 
cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : 
cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
Tags : 
ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
Tags : 
    
IBM
Published By: IBM     Published Date: Nov 08, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : 
ibm, cloud, cloud computing, database, ibm db2
    
IBM
Published By: Oracle     Published Date: Mar 01, 2019
Using PaaS to build and extend the functionality of cloud software products (SaaS) means that you: - No longer have the cost of maintaining hardware and / or a data center (especially if it is not being utilized 100% of the time) \ lowering costs and expanding resources - Can set up development environments quickly and easily, boosting speed, innovation and agility - Save time, improving speed and agility and reducing time to market - Only pay for what you use, further reducing costs and increasing flexibility …which, in turn, will provide faster time-to-value.
Tags : 
    
Oracle
Published By: Datastax     Published Date: Apr 04, 2017
Netflix, Intuit and Clear Capital. These 3 innovative companies have one thing in common. They are altering their business landscape and transforming the way people live and work through highly personalized applications. And they're doing this with Apache Cassandra™ and DataStax. Download this white paper and learn why relational technologies failed to meet the demands of Netflix, Mint Bills and Clear Capital and how these enterprises modernize their Web and Mobile applications with DataStax to drive customer engagement, loyalty and lifetime value.
Tags : 
datastax, netflix, mint bills, digital, personalization
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
Tags : 
cloud, data model, multi-model
    
Datastax
Start   Previous    2 3 4 5 6 7 8 9 10 11 12 13 14 15 16    Next    End
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.