data automation

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Published By: BMC Software     Published Date: May 28, 2014
Learn how BMC Control-M for for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.
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BMC Software
Published By: BMC Software     Published Date: May 28, 2014
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: • How to ensure that your Big Data projects will drive clearly defined business value • The operational challenges each Big Data initiative must address • The importance of using an enterprise approach for Hadoop batch processing
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BMC Software
Published By: Dell     Published Date: Feb 02, 2018
Technology is quickly moving to the forefront of business priorities as organizations undertake digital and IT transformation projects that enable strategic differentiation in a world where users leverage applications and data in new ways. Organizations in all industries must better align with changing customer preferences to avoid being disrupted by a new crop of nimble competitors. Technology will increasingly determine how businesses define and distinguish themselves in the market. IDC has noted that most organizations were not born digital but instead have legacy business processes, applications, and infrastructure that require modernization and automation. As a result, businesses must embark on an IT transformation initiative to modernize and automate their legacy infrastructure to prime themselves to achieve their digital business goals and initiatives
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Dell
Published By: Brocade     Published Date: May 02, 2016
Power your path to a software-defined data center. Brocade and VMware are delivering automation, agility, and efficiency advantages that will change the way you do business. Read this paper and learn how to make SDDC a reality today.
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Brocade
Published By: Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017     Published Date: Jul 18, 2017
For sales teams to be successful in the age of the customer, they need tools that help them close more deals, faster. Some CRM tools are underused because they’re not geared to helping reps sell in the modern era. This may be because they’re complicated to use; because they’re isolated from the apps your reps use every day; or because they don’t give reps the information they need. Today, sales automation is not (just) about managing accounts, contacts, and activities. It’s about gaining insight that provides a competitive edge, having access to predictive information, being able to collaborate in real time, creating quotes in front of the customer, updating forecasts. All at any time, from any place, using mobile devices—all helping to drive sales and pipeline.
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sales, mobile, analytics, customer data, sales automation, accounts, contacts, predictive information
    
Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017
Published By: CA Technologies     Published Date: Aug 22, 2017
Effectively supporting these new business demands has become more complex and challenging. The increased use of mobile devices alone is driving exponential growth in transaction volumes. A customer pushes a button on his or her cell phone, for example, to check a bank balance. That single transaction triggers a cascade of transactions as the request is validated and data is accessed, retrieved and then sent back to the customer.
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storage, systems, network, applications, data, automation, ca technologies
    
CA Technologies
Published By: TIBCO Software     Published Date: Aug 15, 2018
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper
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TIBCO Software
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
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streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
How can enterprises overcome the issues that come with traditional data warehousing? Despite the business value that data warehouses can deliver, too often they fall short of expectations. They take too long to deliver, cost too much to build and maintain, and cannot keep pace with changing business requirements. If this all rings a bell, check out Attunity’s knowledge brief on data warehouse automation with Attunity Compose. The solution automates the design, build, and deployment of data warehouses, data marts and data hubs, enabling more agile and responsive operation. The automation reduces time-consuming manual coding, and error-prone repetitive tasks. Read the knowledge brief to learn more about your options.
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dwa, data warehouse automation, etl development, extract transform load tools, etl tools, data warehouse, data marts, data hubs data warehouse lifecycle
    
Attunity
Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
The University of Melbourne deployed Automation Anywhere’s Robotic Process Automation (RPA) technology to reduce manual work and automate a range of administrative processes across student admissions, faculty administration, and supplier tracking. The deployed software bots now automate the entry of all data and attachments for new admission applications, and the university has slowly expanded its automation capabilities for staff across other faculties. This has allowed the University of Melbourne to increase the efficiency of critical business processes, boost staff engagement, and improve customer experience for its teachers and student body.
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rpa, roi, digital workforce, customer story
    
Automation Anywhere APAC
Published By: GetWellNetwork, Inc.     Published Date: Nov 22, 2013
Learn how to improve the efficiency of your pain management workflow and see how these changes will improve the day to day tasks for your nurses allowing them to work more effectively.
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getwell network, pain management, pain management workflow, joint commission, pain assessment documentation, pain management workflow, performance improvement, managing patient pain levels
    
GetWellNetwork, Inc.
Published By: HERE Technologies     Published Date: May 31, 2019
Rich, real-time location intelligence is shaping the future of the third-party logistics (3PL) industry, powering some of the most innovative new technologies behind the smartest, most efficient and environmentally sustainable 3PLs in the industry. Rapid growth in the industry over the next five years will see competition driving further technology and location intelligence innovation. This eBook predicts five ways in which this will result in smarter work patterns and new business-critical technologies. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes), HERE can help 3PL companies develop key competitive advantages.
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industry, solutions, tracking data, technologies, predictions, customer, automation, logistics
    
HERE Technologies
Published By: Hitachi Vantara     Published Date: Aug 16, 2018
In this infographic, we are going to show you the possibilities with modernized, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, Manufacturing, Healthcare and Retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previously appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara
Published By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies
    
IBM
Published By: NetApp     Published Date: Dec 02, 2010
Available on-Demand(recorded on December 9, 2010): Join us for the first of a three-part Webcast series on building your future-ready IT today.
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netapp, live webcast, cloud computing, siloed architecture, it infrastructure, data center, automation
    
NetApp
Published By: Esker     Published Date: Dec 19, 2016
Electronic Data Interchange, commonly referred to as EDI, is a process that allows data to be exchanged between businesses in a standard electronic format. Sales order processing is an area of business where EDI is used extensively. However, up to one-third of EDI orders can contain exceptions — this is where problems surface. Traditional handling methods cause a host of challenges for customer service professionals and the business as a whole. This eBook aims to expose these issues, while showing how order processing automation can work with existing EDI environments to streamline exception handling and fix any potential problems before they mess up your ERP system and bottom line. Learn more about EDI Exceptions, download now!
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Esker
Published By: Waterline Data & Research Partners     Published Date: May 18, 2015
Waterline Data automates the cataloging of data assets and provides an Amazon.com-like guided shopping approach to data discovery that is intended to take the guesswork out of targeting the right data.
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waterline, big data, automation, cataloging, processing, analysis, assets, data science
    
Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: May 18, 2015
In this report, Forrester Research recommends that application development and delivery (AD&D) professionals working on BI and big data initiatives get the best out of both by designing and integrating them in a flexible data platform.
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waterline, big data, automation, cataloging, processing, analysis, assets, data science
    
Waterline Data & Research Partners
Published By: Oracle CPQ BB     Published Date: Feb 05, 2016
How much selling power are you really getting from your sales teams? Are you making the most out of your CRM investment? Companies have a universal need for revenue growth, profitability, and customer satisfaction. In hopes to satiate this need, most companies have made significant investments in sales force automation to capture sales data, increase visibility to sales pipeline, and gain business insight to make better business decisions. However, few companies can say they have fully realized the benefits they hoped to achieve from their CRM investment. Additionally, with today’s modern, informed buyer, CRM technologies need to empower sales users with better information that’s easy to find and helps them sell. Read more to learn how Oracle Configure, Price, and Quote (CPQ) Cloud extends sales automation to simplify and streamline modern quote-to-cash processes and more!
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Oracle CPQ BB
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: Fiserv     Published Date: Nov 07, 2017
"In today’s ever-evolving lending landscape where loan quality and risk management challenge profitability and the customer experience, technology may be the key to thriving – both now and in the future. Winning financial services institutions will be the ones that transform their business models to place loan quality and risk management at the center of their operations. To facilitate continuous life-of-loan management, inclusive of the requisite data transparency and audit trails that support loan quality and loss mitigation, these institutions will implement and automate a loan completion process. Such a process will manage data quality and access to loan data and documents throughout origination, servicing and sale on the secondary market."
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mortgage data quality, loan quality, loan data quality, mortgage quality, loan compliance, lending compliance, mortgage compliance, trid
    
Fiserv
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