big data

Results 501 - 525 of 1353Sort Results By: Published Date | Title | Company Name
By: Teradata     Published Date: Aug 27, 2015
While your specific data throughput mileage may vary, this paper will share the factors that directly contribute to a Data Movement solution, the data storage ecosystem alternatives, and the pitfalls you may face when attempting to architect such a solution in your data warehouse environment.
Tags : analytics, big data, applications, lob, data science, data storage, data visualization
     Teradata
By: FICO     Published Date: Nov 30, 2016
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
Tags : manufacturing optimizations, enterprise software, infrastructure
     FICO
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, big data, mobile
     Qlik
By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
Tags : datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
     Datawatch
By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, analytics, data science, data storage
     IBM
By: IBM     Published Date: Jul 05, 2016
This e-book highlights the benefits of Hadoop across several industries and explores how IBM® Biglnsights for Apache™ Hadoop® combines open source Hadoop with enterprise-grade management and analytic capabilities.
Tags : ibm, analytics, big data, hadoop, enterprise, ibm biginsights, apache, enterprise management, data science, data storage, data visualization
     IBM
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
     IBM
By: IBM     Published Date: Oct 27, 2016
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
Tags : ibm, apache spark, bluemix, analytics, data science
     IBM
By: VMware     Published Date: Jun 04, 2019
How can a software-defined data center help your company gain a bigger competitive advantage? To help your business stay competitive, your IT organization needs a modern data center that can provide the agility, security, and scalability required to drive innovation and growth in the digital era. Get suggestions and tips for modernizing your data center in this For Dummies guide.
Tags : 
     VMware
By: CloudHealth by VMware     Published Date: Feb 13, 2019
Most organizations use public cloud to reduce costs, but end up spending way more than they expected. Google Cloud Platform is growing at a staggering rate for the business benefits and its rich features around Machine Learning, Artificial Intelligence, Big Data and Containers. However, it’s important to keep a tab on your spend while maximizing your cloud benefits. Reducing spend in GCP doesn’t need to be a process of trial and error -- there are proven ways to save money in your GCP environment without negatively impacting desired outcomes. Read this eBook to learn the 8 different ways to reduce your spend, including: -Terminating Zombie Assets -Deleting Unattached Persistent Disk -Rightsizing Compute Engine VMs Download to learn and practice these techniques to reduce spend in GCP.
Tags : cloud management, google cloud platform, multicloud management
     CloudHealth by VMware
By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, analytics, ecm, data, big data, information governance
     IBM
By: IBM     Published Date: Jan 19, 2017
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
Tags : ibm, analytics, data, ecm, big data, information governance, data science
     IBM
By: IBM     Published Date: Jan 27, 2017
Analytics relies on BI, Big Data, and data discovery to provide reporting, trend what-if analysis. Analytics is transforming data into insight.
Tags : ibm, analytics, business intelligence, data
     IBM
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
By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
Tags : 
     IBM
By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
Tags : customer engagement, mobile, social, bpm, case management
     IBM
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
By: HotSchedules     Published Date: Apr 25, 2018
Restaurant technologies have transformed drastically over the past decade, however there have been several misconceptions about the impact big data can have on restaurant operations. According to a Hospitality Technology study, only 23% of restaurants have confidence in overall tech innovation. When it comes to the state of technology many restaurants are still stuck with disconnected architecture, complex legacy systems, lack of visibility, and high maintenance costs. These challenges ultimately intimidate restaurant operators to outdated systems and processes that significantly limit their business growth. This ebook looks at the four pressing challenges and presents one unifying solution.
Tags : 
     HotSchedules
By: Datastax     Published Date: Aug 23, 2017
About 10 years ago big data was quickly becoming the next big thing. It surged in popularity, swooning into the tech world's collective consciousness and spawning endless start-ups, thought pieces, and investment funding, and big data's rise in the startup world does not seem to be slowing down. But something's been happening lately: big data projects have been failing, or have been sitting on a shelf somewhere and not delivering on their promises. Why? To answer this question, we need to look at big data's defining characteristic - or make that characteristics, plural - or what is commonly known as 'the 3Vs": volume, variety and velocity.
Tags : datastax, big data, funding
     Datastax
By: Privacera     Published Date: Oct 23, 2017
Trends indicate that every company should embrace big data and analytics – there’s clearly incredible opportunity for enterprises to derive value from data. But not all companies are clamoring to jump on board with building teams and defining initiatives. The reality is enterprises are analyzing only 0.5% of their data, according to recent study by MIT Technology Review. What’s holding these companies back? This paper will cover the categories of risk and some of the constraints at play, as well as five recommendations to managing and mitigating that risk.
Tags : 
     Privacera
By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
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 : db2. blu accelaration, big data, data analytics, disaster recovery
     Group M_IBM Q1'18
By: IBM     Published Date: Apr 19, 2018
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 : db2, data migration, ibm, oracle
     IBM
By: IBM     Published Date: May 22, 2018
An overview of testing in talent acquisition and four specific guidelines for assessment practitioners evaluating new selection methods.
Tags : human resources, talent management
     IBM
By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Tags : 
     IBM
By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
Tags : 
     IBM
Start   Previous    14 15 16 17 18 19 20 21 22 23 24 25 26 27 28    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the insideBIGDATA White Paper Library contact: Kevin@insideHPC.com