analytics and the cloud

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Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
    
MicroStrategy
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
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Zaloni
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: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Mobility, social media, analytics and the cloud are revolutionizing how data is accessed, used, and secured for small to midsize businesses. With data security threats are on the rise, keep your business running with Hewlett Packard Enterprise.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Riverbed     Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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Riverbed
Published By: Dell EMC     Published Date: May 10, 2017
While just about everyone is writing about how IT and the businesses it serves need to be transformed, the actual industry answers to both digital and IT transformation remain unclear at best. Are transformational initiatives all about analytics and big data? Or are they about the move to cloud in all its varieties? Support for mobile? More agile ways of working and developing software? Or are they actually all about crafting teams to promote more proactive dialog between the business and IT? The truth is, of course, digital and IT transformation depend on all of the above and more. They also depend on a resilient infrastructure that’s easily adapted to changing business priorities without requiring long hours spent on maintenance, updates, and addressing problems of service availability. But making all this work clearly and cohesively is far beyond the purview of almost any solution today—whether from a software management perspective or from a hardware infrastructure perspective.
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Dell EMC
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: Oracle     Published Date: Sep 01, 2016
This report examines the marketing challenges and opportunities that can be addressed with analytics, and highlight the advantages of achieving comprehensive analytics in a cloud environment.
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marketing analytics, cloud computing, analytics, cloud, business metrics, virtualization
    
Oracle
Published By: Microsoft     Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: Red Hat     Published Date: Jun 23, 2016
FICO, a data analytics software company, wanted to diversify into new markets its core offering of providing on-premise software to major corporations. To do this, the company launched FICO Analytic Cloud, a cloud delivery channel that enables FICO to serve organizations of all sizes. FICO Analytic Cloud was first launched in 2013 and provides Platform-as-a-Service (PaaS) access to FICO Decision Management Platform, which allows customers to use FICO tools and technology to create, customize, and deploy applications and services. FICO Decision Management Platform is built on OpenShift Enterprise by Red Hat, which provides the PaaS tools and support FICO needed to rapidly scale the platform and Analytic Cloud.
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technology, data, enterprise, best practices, software, database development, software outsourcing, web development, productivity
    
Red Hat
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: Pure Storage     Published Date: Jan 12, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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data, storage, scalability, cost efficiencies, pure storage
    
Pure Storage
Published By: SAP     Published Date: Jun 04, 2015
Workforce analytics solutions are the key to answering such questions and getting the metrics and insights needed to make informed HR decisions and create actionable workforce plans. This paper explores the business case for investing in workforce analytics. It focuses on how cloud-based solutions hide complexity associated with HR data, as well as deliver best practices, minimize maintenance costs, and provide quick time to value.
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SAP
Published By: SuccessFactors, an SAP Company     Published Date: Jun 18, 2015
Workforce analytics solutions are the key to answering such questions and getting the metrics and insights needed to make informed HR decisions and create actionable workforce plans. This paper explores the business case for investing in workforce analytics. It focuses on how cloud-based solutions hide complexity associated with HR data, as well as deliver best practices, minimize maintenance costs, and provide quick time to value.
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SuccessFactors, an SAP Company
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