analytics insights

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Published By: KPMG     Published Date: Jul 31, 2019
From intelligent automation to advanced analytics, disruptive technology will enable the finance function to provide all of its services more effectively and efficiently. Find out how technology will change the way finance delivers transactional services, expert services and business partnering, Read this report to discover: • how automation in finance can deliver expert services more reliably and with smaller workforces • how to design an agile workforce of humans and technologies • how the finance function will shift to be part of a cross-functional analytics model that provides key insights to the business
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KPMG
Published By: Oracle     Published Date: Sep 26, 2019
It’s no secret that data-driven marketing (DDM) is top of mind for brand and agency executives. But what is surprising—shocking, in fact—is how vital first- and third-party information is for creative and execution strategies today. Case in point: 70% of senior marketing executives from brands, agencies and related industry segments say data-driven marketing is a core element of a majority of their campaigns, according to a new Oracle-Forbes Insights survey. This full immersion in data and analytics—more than what many industry insiders may have realized—shows how quickly brands and agencies have recognized the potential benefits and rushed to replace outdated “gutfeel” decision making with quantifiable research. This was another recurring theme in the Oracle-Forbes Insights study, which found that marketing executives rely on advanced analytics to increase sales, attract new customers and expand brand awareness. In addition, 71% of respondents feel they effectively use it to identify
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Oracle
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19
Published By: Oracle EMEA     Published Date: Nov 11, 2019
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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Oracle EMEA
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
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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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: Adobe     Published Date: Sep 23, 2019
Why data-driven businesses stand out from the crowd. Why Should the Target Audience Care? Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd Supporting Concepts Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards? Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into: • the key drivers needed within an organisation that help grow customer analytics maturity • why companies using paid analytics solutions experience more tangible benefits than those using free analytics • how to distinguish customer analytics leaders from laggards
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Adobe
Published By: SAS     Published Date: Oct 14, 2019
What’s the best way for businesses to differentiate themselves today? By delivering a unique, real-time customer experience across all touch points—one that is based on a solid, connected business strategy driven by data and analytics insights. We believe brands that gain the ultimate analytical advantage—by unifying the analytics life cycle from data to discovery to deployment—will also gain the ultimate competitive advantage through brand preference.
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SAS
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
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