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Published By: Datawatch     Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending, finance
    
Datawatch
Published 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.
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datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
    
Datawatch
Published By: BAE Systems     Published Date: Dec 29, 2015
How to secure your network without busting your IT budget
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bae systems, applied intelligence, fortune 500, business security, network security, it management, security products, security systems
    
BAE Systems
Published By: IBM     Published Date: May 22, 2017
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
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cloud privacy, cloud security, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
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
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
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,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector. In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models. While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size. Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
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digital business, data, data-driven enterprise, innovation, ibm
    
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.
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Oracle
Published By: Datastax     Published Date: Aug 27, 2018
Today’s companies require serious POWER at the data layer if they’re going to thrive in the Right-Now Economy. That’s why DataStax upped the ante with the latest version of its flagship product: DataStax Enterprise (DSE) 6. DSE 6 offers double the performance of DataStax Enterprise 5.1 and has now been independently verified as being at least twice as fast as open source Apache Cassandra. Read this white paper to learn all about DSE 6 performance improvements.
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Datastax
Published By: Datastax     Published Date: Aug 28, 2018
Today’s companies require serious POWER at the data layer if they’re going to thrive in the Right-Now Economy. That’s why DataStax upped the ante with the latest version of its flagship product: DataStax Enterprise (DSE) 6. DSE 6 offers double the performance of DataStax Enterprise 5.1 and has now been independently verified as being at least twice as fast as open source Apache Cassandra. Read this white paper to learn all about DSE 6 performance improvements.
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Datastax
Published By: Druva     Published Date: Oct 02, 2017
To best address HIPAA compliance, maintain productivity, and mitigate risk in the mobile age, HIPAA-regulated enterprises need to ensure high standards of data security and privacy on all endpoint devices that contain or have access to protected health information (PHI). Get this white paper to learn: What HIPAA means for data on endpoint devices Features you should look for when evaluating endpoint backup solutions How to maintain HIPAA compliance whether data is stored on-premise or in the cloud What other organizations are doing to comply with HIPAA/HITECH
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hipaa, hipaa compliance, risk mitigation, data security, endpoint devices, protected health information
    
Druva
Published By: Druva     Published Date: Oct 02, 2017
There is increasing urgency for organizations today to comply with regional data protection regulations or face potential financial and legal repercussions, and customer backlash. This awareness is heightened by recent headlines related to data breaches, rising risks of BYOD, and other privacy lapses that have bottom line and reputational consequences. Learn how to prepare for this new world of data privacy with actionable advice for senior IT leaders addressing data privacy concerns in their organizations. This paper covers key issues to consider when it comes to protecting corporate and employee data privacy, including: Sectorial regulations, including HIPAA and FINRA Evolving Data Protection Acts in EU countries with a strong focus on citizen privacy, data residency requirements, and concerns over data production BYOD policies blurring the lines between personal and business data Internal controls for safeguarding PII & PHI
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data breaches, data privacy, hipaa, finra, byod, pii, phi
    
Druva
Published By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
Published By: OneLogin     Published Date: Oct 24, 2017
From the information provided in the interviews, Forrester has constructed a Total Economic Impact (TEI) framework for those organizations considering investing in OneLogin. The objective of the framework is to identify the benefits, costs, flexibility, and risk factors that affect the investment decision. Forrester employed four fundamental elements of TEI in modeling OneLogin: benefits, costs, flexibility options, and risks. Forrester took a multistep approach to evaluate the impact that OneLogin can have on the Organization (see Figure 2). Specifically, we: › Interviewed OneLogin marketing, sales, and product management personnel, along with Forrester analysts, to better understand the value proposition for OneLogin. › Conducted an in-depth interview with the Organization’s senior application engineer and its supervisor of IT security to obtain data with respect to costs, benefits, and risks. › Constructed a financial model representative of the interviews using the TEI metho
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OneLogin
Published By: Riversand     Published Date: Oct 30, 2017
MDM can add value to the business in many different ways. It most often does so indirectly, as an enabler for other business and IT initiatives. Some of these areas of potential benefit support shorter-term or tactical efforts at helping the business operate more efficiently — that is, they help to reduce the cost bases to "run the business." Some benefit areas of MDM are related more to helping users "grow the business." That is, they help to increase the revenue and market share within a given business model or framework. Yet other areas of opportunity fall into the "transform the business" arena — for example, allowing customer support representatives to perform inside sales activities enabled by trusted customer and product master data.
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Riversand
Published By: OracleSMB     Published Date: Jan 04, 2018
Customer loyalty matters. Loyal customers spend more, advocate more, and are the first to try new products or services. But how do you build a loyal customer base that drives profitable sales? The answer is a loyalty program that provides the data needed to support individualized experiences and show appreciation. And this is where technology can help. Move beyond paper punch cards and emails with personalized greetings. Quickly create an effective loyalty program that keeps your customers coming back for more.
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OracleSMB
Published By: SundaySky     Published Date: Mar 06, 2018
Saks’ personalized video advertising program with SundaySky consists of 15- and 30-second SmartVideo pre-roll ads, featuring highly relevant information, such as previously viewed items, product categories, brand messages and seasonal promotions, that correlate to the viewer’s historical browsing data. Within 30 days of the shopper’s last visit to Saks’ website, SundaySky finds the individual on a publisher site through a programmatic ad network, and serves him or her a Saks video ad filled with relevant information according to their behavior. The goal of the program was to maintain a $25 ROAS with more than $10 million in attributed revenue, measured by the brand’s advanced attribution system of record MarketShare.
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SundaySky
Published By: ServiceNow     Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees. Download this case study to learn more
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nucleus, research, worldpay, servicenow
    
ServiceNow
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: IBM     Published Date: Jun 25, 2018
Incorporating Watson Assistant into their “Easy System”, Staples Inc. enhanced their ordering interface and product support to be more seamless, whether via their iconic Easy Button, through the app, over Facebook Messenger, or with a Slackbot. See how Staples used Watson APIs to build a cognitive ordering ecosystem for customers, incorporating speech-to-text capabilities and leveraging on a massive amount of back-end and customer data. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Sage EMEA     Published Date: Jun 25, 2019
Digital transformation is now in the rearview for today’s top-performing manufacturers. Industry 4.0 is the next phase of the journey toward “perfect production,” where the aim is minimal downtime, neglect, waste, and inefficiency. Industry 4.0 is where factory managers, financial experts and executives use cutting-edge technology to understand data and production – reaching the pinnacle of technology and manufacturing development.
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Sage EMEA
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