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Go Further with Digital Analytics: An Ignite Guide

Published By: Oracle     Published Date: Sep 26, 2019
This series of guides is for the marketer who is always on and needs to know what is trending in modern marketing. It will get you up to speed on pivotal topics in less time (and less effort) so you can get back to work.
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Oracle

Select the right solution for integrated workplace management

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
Today’s buildings and workplaces are major generators and receivers of data. By capturing and analyzing this data, organizations can gain improved understanding of their operational effectiveness, accelerated ability to react to change and increased returns from real estate-related decisions. This IBM buyer's guide outlines the features and capabilities of an effective IWMS, addressing the following key areas: Real estate management, Capital project management, Facilities management, Facilities maintenance and operations, Environmental and energy management, Cross-functional capabilities, Management system architecture. Create smarter buildings by integrating workplace data with analytics and automation with IBM TRIRIGA. Download the whitepaper.
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Group M_IBM Q4'19

2019 Gartner Magic Quadrant for Data & Analytics service Providers, Worldwide

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

Come Together (Right Now) To Deliver The Next Best Experience

Published By: Selligent Marketing Cloud     Published Date: Sep 24, 2019
We’re living in the age of the customer, so it’s understandable that many companies are striving — and claiming — to be customer obsessed. yet many still fall short of creating superior customer experiences, even with sophisticated customer analytics in place, because of myopia and internal misalignment. The solution lies in a new customer insights paradigm: the next best experience (nBX). customer insights (ci) pros need to reevaluate their current analytics practices and embrace the nBX model to become truly customer obsessed.
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Selligent Marketing Cloud

The Forrester Wave™: Customer Analytics Solutions, Q2 2018

Published By: Adobe     Published Date: Sep 23, 2019
Forrester names Adobe as a Leader in customer analytics, according to the Forrester Wave: Customer Analytics Solutions, Q2 2018 report. SUPPORTING CONCEPTS: • We’re a Leader. But we won’t stop there. Adobe Analytics provides a superior product, executive vision, and strategy. We understand the needs of today’s marketers and customer insights professions, while staying ahead of the curve on future analytics trends. • Adobe Analytics fuels insight-driven customer experiences. Adobe has turned its mantra of “Make Experience Your Business” inward, by developing a marketer-friendly solution that doesn’t skimp on advanced analytical functionality. • Adobe Analytics excels at real-time conversion of insights into action, superior usability, and AI-powered customer journey analytics. • Adobe Analytics’ capabilities, such as Virtual Analyst, powered by Adobe Sensei, use artificial intelligence and machine learning to identify anomalies, contributing factors, and segment differences. What
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Adobe

The 20 Attributes that lead to business success

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

Breathe new life into the customer journey

Published By: Adobe     Published Date: Sep 23, 2019
Like the oxygen we breathe, journey analytics brings life to the customer behind those devices, over time getting to know their favorite pastry choice, when they’re most likely to buy gas, and how long they stay online while in the station’s café. WHY SHOULD THE TARGET AUDIENCE CARE? Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time. SUPPORTING CONCEPTS If you want your customers to enjoy seamless, personalized experiences, you need to treat them like people. That means marketing to the person — not the device. When you know a customer’s interests, wants, and needs — perhaps even before they do — you’ve succeeded at becoming a true experience business. For some, this may require a shift from analytics as a tool to analytics as a way of life. It may also m
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Adobe

Getting Your Analytics Efforts Started Right

Published By: Intel     Published Date: Sep 20, 2019
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts. That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey: • Establishing an organizational foundation • Mapping the data pipeline • Transitioning analytics proofs of concept into production
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Intel

Consolidate, Connect and Accelerate your Data

Published By: Pure Storage     Published Date: Sep 13, 2019
Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC. The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas. Description You’ll learn how to: Leverage AI, machine learning and predictive analytics. Get scalable, high-speed access to vast amounts of data. Respond faster, become more competitive, and attract new customers.
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Pure Storage

Your Most Intelligent Associate: Ecommerce in Modern Retail

Published By: Oracle     Published Date: Sep 12, 2019
The following guide looks at 6 characteristics that define today’s most compelling commerce environments, and how the right mix of adaptive, intelligent solutions can optimize performance and ultimately be your most intelligent associate, 24 hours a day, 7 days a week, anywhere in the world. Amp Up the Power of Commerce with AI and Analytics Bring the Customer Journey Full Circle Tap into Heightened Data Security and Privacy in the Cloud
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Oracle

Siteimprove Intelligence Platform

Published By: Siteimprove     Published Date: Sep 06, 2019
Siteimprove transforms the way organizations manage and deliver their digital presence. With the Siteimprove Intelligence Platform, you gain complete visibility and deep insights into what matters, empowering you and your team to outperform the status quo with certainty every day. In this digital age, maintaining high-quality content—all while measuring website success and delivering a superior user experience—can no longer be accomplished manually. The Siteimprove Intelligence Platform unlocks new insights into your content and analytics data to let you focus your efforts where they belong.
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site optimisation, digital, web content, site analytics
    
Siteimprove

Refactoring Analytics for the Cloud

Published By: SAS     Published Date: Sep 05, 2019
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges. In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including: • Why are organizations moving analytic work to the cloud? • What are the key challenges and misconceptions? • How do IT leaders provide choice while maintaining control?
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SAS

SAS® in the Open Ecosystem

Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS

IBM Integrated Analytics System: Do Data Science Faster

Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19

The Definitive Guide to Marketing Metrics & Analytics

Published By: Marketo     Published Date: Sep 03, 2019
How much additional profit will a 10% increase in your marketing budget generate? 44% of qualified marketers have NO idea. If you fit into the 44% above, justifying your budget will be a serious challenge, as will asking for an increase. In fact, you'll likely find yourself asking the question the other way around: What will happen if my marketing budget gets cut by 10%? You can't expect your organization to place value on something you're unable to quantify. Our Definitive Guide to Marketing Metrics will help you do just that. You'll learn about: How Measurement Builds Respect and Accountability Planning for Marketing ROI A Framework for Measurement Revenue Analytics Marketing Performance Measurement The Art of Forecasting Dashboards Implementation: Team, Tactics, Technology Download the comprehensive 88-page guide and start taking your marketing to the next level.
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Marketo

Vanson Bourne - Global Data Protection Index III

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage

Forrester - Why Data Center Modernization Is Critical To Business Success

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage

ESG Brief: The Importance of a Common Distributed Data Services Layer

Published By: Gigamon     Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common distributed data services layer as part of a comprehensive security operations and analytics platform architecture (SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational efficiency.
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Gigamon

Threat Landscape - How to predict, spot and mitigate threats

Published By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
"We live and surf in a cyber world where attacks like APT, DDOS, Trojans and Ransomware are common and easy to execute. Domain names are an integral part of any business today and apparently an integral part of an attacker's plan too. Domain names are carriers of malwares, they act as Command and Control servers and malware's ex-filtrate data too. In today's threat landscape - predicting threats, spotting threats and mitigating them is super crucial.. This is called Visibility and Analytics. Watch this on demand session with our Cisco cloud security experts Shyam Ramaswamy and Fernando Ferrari as they talk about how Cisco Umbrella and The Umbrella Research team detect anomalies, block threats and identify compromised hosts. The experts also discuss how effectively Cisco spot, react, filter out IOC, block the network communications of a malware; identify and stop a phishing campaign (unknown ones too). "
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Cisco Umbrella EMEA

MicroStrategy 2019 Whitepaper

Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy

7 Hypercard Use Cases For The Intelligent Enterprise

Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark. That means that more than 70% of people at most organizations are going without access to the critical information they need to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are naturally analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
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MicroStrategy

Predicts 2019: Data and Analytics Strategy

Published By: MicroStrategy     Published Date: Aug 28, 2019
Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.
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MicroStrategy

Manufacturing Intelligence: Keep Your Processes Under Control (Webinar)

Published By: TIBCO Software     Published Date: Aug 26, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software

10 ENTERPRISE ANALYTICS TRENDS TO WATCH IN 2019

Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy

2018 Global State of Enterprise Analytics Report

Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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MicroStrategy
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