analytic processes

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Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
On-demand Webinar 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. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Spe
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TIBCO Software
Published By: HPE Intel     Published Date: Mar 15, 2016
As more enterprises adopt technologies such as cloud, mobile, and analytics to help achieve strategic competitive advantage, CIOs and IT managers must support business-critical processes at a very high level across the enterprise. At the same time, IT organizations must manage complex hybrid IT infrastructures that include both cloud and on-premises technologies from multiple vendors and support providers. IDC believes that to tackle these challenges, IT organizations should look to support providers for comprehensive offerings to help optimize IT operations and improve the efficiency of IT service delivery. In addition, IDC recommends that IT organizations looking to manage rapid change in today’s IT landscape consider support providers with a record of innovative support services and a focus on advanced technology in support delivery.
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HPE Intel
Published By: SAS     Published Date: Jan 17, 2018
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: SAP     Published Date: May 03, 2016
Discover why analytics may be the key to revolutionizing performance management and other HR processes.
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sap, performance management, simplify, employee, management, human resources
    
SAP
Published By: TIBCO Software     Published Date: Aug 26, 2019
On-demand Webinar 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. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Teradata     Published Date: Jun 22, 2015
This paper looks at the critical connection between data analytics and the future of tax compliance. It shows how the ability to pinpoint the “right” cases can bring more efficiency—and more revenue—to tax agencies. It also confirms that tax agencies already have vital data at their fingertips; the challenge is to find new and better ways to put it to use. Finally, it describes how a cohesive compliance strategy demands an agile, balanced solution of people, processes, technology, and data.
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Teradata
Published By: Workday     Published Date: Jun 14, 2019
Putting people analytics into practice can be difficult, but this eBook outlines six key steps that can guide you through the journey. Learn how to demystify the tools and processes that help you derive insights from your people data. Read now.
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Workday
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Technology is in a constant state of evolution, and the world of automation is no exception. In this eBook, we’ll consider how you can stay ahead of the competition—because in the application economy, it’s vital to ensure the tools your organization uses are capable of positioning you at the forefront of industry—not just today, but tomorrow as well. We are heading toward a scenario where workload automation tools are capable of thinking for themselves and making decisions based on policy; this is what we at CA Technologies are calling intelligent automation. At the same time, however, more and more challenges are being presented as the increasingly fragmented places our workloads run begin to impact our analytics, reporting and processes. The task is to navigate these hurdles while at the same time allowing our enterprises to harness the power of new technology.
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CA Technologies_Business_Automation
Published By: Cognizant     Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms. Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
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cognizant, banking, digital
    
Cognizant
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business: - Customer satisfaction and retention - More effective HR processes - Fraud and threat detection and prevention - Revenue growth and profitability
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ibm, analytics, predictive analytics
    
IBM
Published By: SumTotal Systems     Published Date: Oct 10, 2013
If you’re like everyone else in HR today, you’re probably thinking about how your organisation can handle data better. Maybe your executives want the power to make data-driven decisions from comprehensive workforce analytics. Perhaps you’d like to streamline the efficiency of your HR operation or put more actionable information in the hands of your line managers and employees. With the elixHR Platform, you can integrate your HR data and processes so your people can access information quickly and easily, and make better decisions. You can also lower your operational costs because you can increase efficiency and eliminate the need to replace HR systems that you already have in place.
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sumtotal, sumtotal elixhr, sumtotal elixhr platform, elixhr, human resources, hr data, hr processes, hr systems, hr technology, integration, master data management, mdm, mdm technology, talent expansion
    
SumTotal Systems
Published By: SumTotal Systems     Published Date: Oct 10, 2013
Workforce analytics has become an essential business tool for leading companies that view workforce performance as the key to improving company results, according to a new global survey of business leaders by Harvard Business Review Analytics Services. Workforce analytics is a set of integrated capabilities (technologies, metrics, data, and processes) to measure and improve workforce performance. The goal is simple: put the right people with the right skills in the right work, provide them with the necessary training and development opportunities, and engage and empower them to perform at their highest possible level.
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sumtotal, harvard business review, workforce, workforce analytics, analytics, company performance, workforce management, workforce data, workforce analysis, human resources, hr technology
    
SumTotal Systems
Published By: TIBCO Software     Published Date: Aug 13, 2018
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics. Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.
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TIBCO Software
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: TIBCO Software     Published Date: Aug 15, 2018
World leader in design and manufacture of innovative sensing solutions that enhance safety, security, and energy efficiency. For this manufacturers of high-tech imaging systems, monitoring accuracy and product quality are critical. Any quality problem could mean a part fails sooner than expected, or triggers a false alarm at a customer site that causes unnecessary panic. By setting up automated manufacturing analytic workflows with the TIBCO StatisticaTM platform, the company can complete complicated processes in just a few minutes and improve product quality by decreasing the variability of everything they produce.
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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, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
Companies are looking to their CFOs for strong leadership in developing corporate strategies and achieving growth. CFOs can meet these rising expectations by leveraging their knowledge of corporate data to extract valuable insights about customers, suppliers, partners and other stakeholders. Supported by analytics, CFOs can help their companies create a global, unified and clear view of their many relationships with customers and others to guide intelligent risk-taking and thoughtful investment—both necessary catalysts for growth. This capability will also enable the company, particularly its sales and marketing functions, to move faster and adapt more quickly to changing conditions. The 21st-century CFO is not only concerned with controlling costs and minimizing risk, but also with maximizing opportunities and generating growth. The right foundational technologies and organizational processes for data-driven decision making can help them achieve all of these strategic goals.
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Dun & Bradstreet
Published By: MobileIron     Published Date: Jul 31, 2015
Most large organizations deploy or intend to deploy a broad range of mobile apps to their employees for productivity, collaboration, CRM, ERP, analytics, and industry-specific business processes. Office 365 might be the productivity solution, but the IT team needs a central platform that can provide a consistent security and policy framework across all the mobile apps the organization will deploy both today and tomorrow. This whitepaper describes the MobileIron app security model and how it can be used to secure Office 365 for mobile devices.
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office 365, mobileiron, crm, erp, analytics, security model, mobile apps
    
MobileIron
Published By: Anaplan     Published Date: Apr 06, 2016
A Harvard Business Review Analytics Services White Paper Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes. Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization. Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.
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analytics, planning, cfo, operations, business practices, revenue, growth, enterprise business, finance trends, business analytics, business process, harvard business review, hbr, financial planning, corporate finance, fp&a, budgeting, integrated business planning, ibp, finance
    
Anaplan
Published By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
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ibm, smarter process, operational decision management, odm
    
IBM
Published By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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KPMG
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