data based analysis

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Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis
    
SAS
Published By: WNS     Published Date: Jun 21, 2017
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes. WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
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cost of goods solid, warehousing and logistics, advertising and promotion, rent, electricity and utilities, floor staff, depreciation, system costs
    
WNS
Published By: Lucidworks     Published Date: Dec 14, 2016
Download this whitepaper to learn about the benefits and trade-offs of contextual and data-based analysis. Recommendations and answers are provided by the next generation of enterprise applications that use search-based features and capabilities to improve performance and add value.
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Lucidworks
Published By: CEB     Published Date: Nov 21, 2013
How do you know if your organization has the talent it needs to execute on its strategy? Is your organization’s talent ready to perform in the new work environment? Are your talent development programs focused on the right people?
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ceb, big data, big data intent, global workforce, organisational talent, business objectives, productivity, innovation, talent management, workforce skills, data-based analysis, future leaders, organisational risk, global skills, landscape of diversity, global availability
    
CEB
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: Concur     Published Date: Apr 17, 2013
In this survey report analysts examine electronic invoicing, imaging and data extraction, and automated workflow solutions at US-based enterprises. The analysis is based on over 300 survey results and more than nine years of research findings.
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ap automation, accounts payable, invoice management, invoice automation, invoicing, ap report, ap study
    
Concur
Published By: McAfee EMEA     Published Date: Mar 14, 2018
Use of cloud computing services continues to grow rapidly as organizations migrate business applications and data to cloud-based software, platform and infrastructure services. Gartner estimates 2017 will see growth of 18% in spending on public cloud services and that cloud adoption will infuence more than 50% of IT spending through 2020. Deloitte Global predicts that by the end of 2022 more than half of all IT spending will go to IT-as-a-service providers. In the 2016 edition of this survey, 56% of the security professionals responding said limitations on access to collect incident response data and evidence for forensic analysis was a key challenge to securing the cloud. Sixty-two percent said they were concerned about unauthorized access by outsiders, and 59% said they worried about access by other cloud tenants. Of the 10% who reported being breached, half blamed stolen credentials or compromised accounts.
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McAfee EMEA
Published By: Intralinks     Published Date: Mar 12, 2014
In the age of Edward Snowden and the NSA, there are increasing concerns about data privacy and especially where best to keep data secure. The prevalence of cloud computing and cloud-based storage and collaboration services is only exacerbating these concerns. Many organizations are confused about regulations that protect data in different countries and jurisdictions, and don’t know what steps to take to ensure their cloud collaboration vendor can provide adequate safeguards. While pushback and reform efforts are evolving, the reality is that companies must operate within the law. Deciding where to house your data and how to move it is an exercise in understanding the relevant legal regimes and the application of risk analysis in the decision making process. This white paper will examine those elements with regard to cloud-based storage and processing.
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data privacy, technology, data, security, safeguards, cloud computing
    
Intralinks
Published By: nlyte Software     Published Date: Sep 30, 2014
This new Gartner report reviews 17 vendors of Data Center Infrastructure Management (DCIM) solutions. Based on its own expert analysis and backed up by in-depth interviews with users in the space, Gartner has just published the Magic Quadrant for Data Center Infrastructure Management Tools for the first time.
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nlyte software, nlyte, data center, data center infrastructure, gartner report, infrastructure management
    
nlyte Software
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse
    
IBM
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: HP and Intel ®     Published Date: May 02, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtualization technologies, the expected and realized benefits, ensuing infrastructure decisions, future outlook of the data center, and best practices for deployment.
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HP and Intel ®
Published By: HP and Intel ®     Published Date: May 06, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtual technologies, the expected and realized benefits, ensuing infrastructure decisions,future outlook of the data center, and best practices for deployment.
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data center, virtualization, data center management, automation, agile, storage, van, virtual application network, infrastructure, desktop virtualization
    
HP and Intel ®
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