data model

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Published By: Dassault Systmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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Dassault Systmes
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 Organizations 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: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and deliveryprofessionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi, security
    
IBM
Published By: Success Factors     Published Date: Aug 10, 2012
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
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successfactors, sap, best practices, workforce planning, data-driven decisions, workforce analytics, data mining, predictive modeling
    
Success Factors
Published By: Basho     Published Date: Apr 07, 2015
This whitepaper looks at why companies choose Riak over a relational database. We focus specifically on availability, scalability, and the key/value data model. Then we analyze the decision points that should be considered when choosing a non-relational solution and review data modeling, querying, and consistency guarantees. Finally, we end with simple patterns for building common applications in Riak using its key/value design, dealing with data conflicts that emerge in an eventually consistent system, and discuss multi-datacenter replication.
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basho, riak, relational database, nosql, common applications, simple deployments, it management, data management
    
Basho
Published By: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: Anaplans proprietary Hyperblock technology The App Hub, a suite of 250+ industry-leading solutions Developments in machine learning and artificial intelligence
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Anaplan
Published By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: Anaplans proprietary Hyperblock technology The App Hub, a suite of 250+ industry-leading solutions Developments in machine learning and artificial intelligence
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Anaplan
Published By: DataCore     Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the businesss digital pursuits. The increased pressure on IT has amplified complexity, as well66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1 Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
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software defined storage, hyperconverged, storage consolidation, storage management, data migration, storage migration
    
DataCore
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. This Magic Quadrant assesses 15 vendors to help you make the best choice for your organization.
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Group M_IBM Q4'19
Published By: Google Analytics 360 Suite     Published Date: Jul 27, 2017
Todays marketing leaders need sophisticated tools to turn data into cross-channel insights that improve performance. In a new report, Gartner compares 11 digital marketing analytics solutions across five key areas: data integration, exploration, advanced models, platform integrations, and measurement. Selecting the best solution for your team requires thoughtful analysis. How will you determine the best fit? Gartners Magic Quadrant can help.
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Google Analytics 360 Suite
Published By: Google Analytics 360 Suite     Published Date: Jul 28, 2017
Todays marketing leaders need sophisticated tools to turn data into cross-channel insights that improve performance. In a new report, Gartner compares 11 digital marketing analytics solutions across five key areas: data integration, exploration, advanced models, platform integrations, and measurement. Selecting the best solution for your team requires thoughtful analysis. How will you determine the best fit? Gartners Magic Quadrant can help.
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Google Analytics 360 Suite
Published By: IBM     Published Date: Jul 17, 2018
As of May 25, 2018, organizations around the worldnot just those based in the EUneed to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
As of May 25, 2018, organizations around the worldnot just those based in the EUneed to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
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Group M_IBM Q418
Published By: GE Power     Published Date: Oct 05, 2016
Gathering machine sensor data for analysis across a power plant is only the beginning. The Digital Twin takes analytics to the next level by creating a virtual analytic model of assets within the plant. With the GE Digital Twin power companies can understand how assets are performing in real time, and predict future performance.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but dont know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of timeeven monthsto build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: Safe Software     Published Date: Aug 21, 2009
One of the most powerful aspects of GML is the freedom it gives users to define their own custom application schemas. While this capability provides extraordinary flexibility to data modellers, it also creates significant challenges, particularly when the data is interpreted.
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spatial, geographic information system, geographic information systems, geological, geography, information management, data processing, database
    
Safe Software
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS, Inc.
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS
Published By: Ciena     Published Date: Nov 15, 2016
Healthcare providers use Packet-Optical Networks to meet performance and bandwidth demands. Learn the advantages of Packet-Optical Networks.
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packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals
    
Ciena
Published By: Objectivity     Published Date: Aug 21, 2009
As business users expand to newer types of applications, and grow older ones, their attempts to use RDBMS encounter the "Relational Wall," where RDBMS technology no longer provides the performance and functionality needed. This paper measures the wall, explains what model and architectural differences cause it, how to foresee it, and how to avoid it.
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database, rdbmss, object, object-oriented, object oriented, database performance, database development, database architecture
    
Objectivity
Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team and business results to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys
Published By: IBM     Published Date: Sep 11, 2013
Learn how customer profitability analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability
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banks, customer profitability analytics, analytics, account, product, transaction data, costing models
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior, business analytics
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer, profit, analytics, costing models
    
IBM
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