cloud analytics

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Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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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
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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
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MicroStrategy
Published By: Workday     Published Date: Feb 20, 2018
How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.
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Workday
Published By: Workday     Published Date: Aug 19, 2019
Looking for a cloud partner for financial planning and analytics that’s flexible, easy to use, and always keeps you up-to-date with the latest technologies? Get analysis of the market, key recommendation for evaluating vendors, and more. Download your complimentary copy of the report.
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Workday
Published By: ttec     Published Date: Jul 24, 2019
In this e-book, you’ll discover 1. How next-generation cloud technologies such as customer journey mapping platforms and advanced analytics are poised to transform the customer experience. 2. The top operational and technical challenges that next-generation cloud technologies tackle. 3. Examples of how companies can tap into next-gen cloud technologies to elevate the customer experience.
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ttec
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: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
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: Cisco     Published Date: Jul 30, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks.
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: Oracle     Published Date: Jan 12, 2017
Businesses today expect finance to play an extended role across departments, including IT, human resources, compliance, operations, sales, marketing, and most importantly, corporate strategy.To successfully deliver on this role, the finance function needs to play a bigger and visible role in real-time decision making and continuous planning. This report explores how, using cloud and analytics, finance leaders can leapfrog a few generations of technology and offer mature analytical feature/functionality and skills to the entire organization.
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Oracle
Published By: Cisco     Published Date: Feb 13, 2015
Get your IDC report on how enterprises are adopting both private and hybrid cloud computing models for business. Learn about their challenges, and how Cisco Intercloud Fabric helps to address them.
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hybrid cloud, cloud management, mobility, virtualization, data analytics, internet of things, it department, cloud computing
    
Cisco
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS
Published By: SAP     Published Date: Nov 16, 2017
View the Journey to the Cloud: SAP Strategy and Roadmap for Cloud and Hybrid Analytics Scenario webinar to find out leading innovations and future opportunities for your organisation.
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SAP
Published By: Adobe     Published Date: May 04, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
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Adobe
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
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