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Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: HERE Technologies     Published Date: Oct 29, 2019
Using customer location data to drive foot traffic and sales is a given for today’s smart marketers. But digital data alone isn’t enough to design and execute optimal campaigns. The future of location-based marketing incorporates new technology that provides a data stream of polygons - granular information on the size and shape of buildings - that identifies precisely where customers are when shown relevant offers, and helps track whether those offers convert to sales. This Industry Dive eBook endorsing HERE Technologies explains how to leverage such new, powerful and precise matrices to measure campaign efficacy and success. It also includes: • An explanation of how new granular audience and footfall data can provide impactful attribution insights • A specific list of value adds a proprietary polygon database partner can provide • A case study of a company that used continually-updated polygon data to boost their segmentation, behavior analytics and attribution capabilities.
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HERE Technologies
Published By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
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source, language, english, spanish, speech to text, database, analytics, audio message
    
IBM APAC
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? 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 analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: MedeAnalytics     Published Date: Mar 09, 2012
Put simply, the aim of reporting is to translate or convert data into information. Reporting done well often prompts end-users to raise questions about the business. Analytics fills in the gap, answering the questions raised by reporting, thereby transforming data into insights. Read more to find out how analytics can go beyond reporting to provide actionable recommendations to improve business performance.
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analytics, reporting, healthcare, business intelligence, business, hospitals
    
MedeAnalytics
Published By: CA Technologies     Published Date: Aug 24, 2017
• Use CA Live API Creator to deliver running prototypes in hours. Convert business requirements into working software. • Not just for wireframes, but also for running systems, databases, logic and user interfaces. It’s as simple as a spreadsheet and just as fast. • Impress your business users with results in hours to get their feedback on the data model and logic. Iterate instantly. • All you need is in the box. No IDE to install or configure. Just use your browser.
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CA Technologies
Published By: Sitecore EMEA     Published Date: Jan 23, 2018
It’s no longer enough just to convert—to stay competitive, you need to turn prospects into lifelong fans of your brand. But with commerce channels and buying behavior changing so fast, we all know that’s easier said than done. What were once communications channels are now becoming commerce channels, with consumers making purchases on their TVs, on Twitter, and by text message. In the past, commerce and content data and experiences sat in their own silos. Those days are gone.
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commerce, channels, content, customer, optimization, sitecore
    
Sitecore EMEA
Published By: Location3     Published Date: Aug 31, 2018
When we released our first white paper in February 2015 discussing the ways multi-location businesses were using online media to drive in-store visits, most of the strategic opportunities being leveraged by marketers revolved around using things like promotional coupons, beacons and other tactics. While those methods certainly provided incremental lift in in-store traffic and revenue, there existed a number of gaps in connecting online data associated with promotional efforts, to data that indicated a customer actually converted offline at a business location. At press time for our original “online-to-offline” white paper, digital industry giants were still very much in the early stages of evaluating data points that signified offline customer conversions. Many of these “conversions” were somewhat implied (i.e. Clicks on “Get Directions” link), while others were a bit more reliable in signifying in-store visits and purchases made by consumers (i.e. downloadable coupon redeemed in-store
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marketing, local marketing, franchise, franchisor, digital marketing, online to offline, multi-location businesses, store visits
    
Location3
Published By: IBM     Published Date: Aug 08, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
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ibm, middleware, api economy, ibm integration bus, business agility, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
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ibm, middleware, api economy, ibm integration bus, business agility, knowledge management, enterprise applications, business technology
    
IBM
Published By: Success Factors     Published Date: Jul 02, 2013
Convert your late-night worries into daytime business success As a small-business leader, you have many reasons for insomnia. Worrying about managing your money, execution, and people can make for restless nights. SuccessFactors is here to help you get a little shut-eye. Download “What keeps business leaders up at night? A quick guide to talent excellence for small-business leaders” for a walk-through of the pivotal areas of your talent management where you can make changes that impact your business. This e-book identifies some of the top worries that keep small-business leaders up at night. How do you sleep better? You bring an integrated approach to your talent management processes to help your people turn strategy into action and action into results. By downloading this e-book, you will learn the benefits of: • Aligning your workforce to your strategy • Helping your people grow • Hiring and retaining the right people from the start • Building a data foundation for your talent mana
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e-book, business leaders, benefits, talent management, human resources management
    
Success Factors
Published By: Adobe     Published Date: Mar 03, 2017
Applying for and opening financial services accounts online is on the rise. And FSI marketers are feeling the pressure to make these new accounts higher quality. The Adobe guide, Acquisition Evolved, will give you three actionable ways to improve your ability to identify and convert high-value customers. Read the guide to learn: • The DNA of customer digital behavior • How to create unified customer segments with existing data • How to adopt onsite messaging to match offsite ads
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fsi, adobe, customer behavior, customer segments, data
    
Adobe
Published By: AWS     Published Date: Nov 15, 2018
"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isn’t just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead. While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution. Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."
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AWS
Published By: AWS     Published Date: Nov 02, 2017
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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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AWS
Published By: Janrain, Inc.     Published Date: Mar 22, 2013
A common objective for a website is to convert an anonymous visitor to an engaged and active registered user. Download this paper for best practices in implementing online user registration and collecting data without sacrificing conversion rates.
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user registrations, user management platform, registration system, registration optimization, registration infrastructure, internet marketing
    
Janrain, Inc.
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper to learn how Big analytics can improve your business decision making and enhance business innovation. Most of all what does it provide in terms of business value for big data. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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big data, value, analytics, improve, business, innovation
    
IBM
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis
    
Amazon
Published By: Curalate     Published Date: May 03, 2016
With billions of images shared daily across a growing number of channels and touchpoints, there are now more opportunities for people to consume content and discover products than ever before. The result? Visual commerce – the emerging need for marketers and brands to understand how images engage and convert consumers at every point of the purchase funnel. If this sounds familiar, then you're among the 77% of marketers who agree there's a growing amount of pressure to connect visual content to ROI. Get Your Complete Guide to Visual Commerce and learn how to: - Develop and source new, creative content for your brand. - Harness your visual data to discover which images really resonate with your fans. - Monetize your visual content, and measure the new ROI – Return on Image. So, are you ready to unlock the power of your visual content? Download your free marketing guide today.
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curalate, visual commerce. ecommerce, visual data, measuring roi, emerging marketing, social media, internet marketing, e-commerce
    
Curalate
Published By: Schneider Electric     Published Date: Jun 04, 2014
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how data center infrastructure management software tools can simplify operational processes, cut costs, and speed up information delivery.
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schneider, electric, data, infrastructure, convert data, business value, it management, data management
    
Schneider Electric
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