business intelligence

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Published By: MicroStrategy     Published Date: Nov 08, 2019
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—meaning more than 70% of people at most organizations are going without access to the critical information needed 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 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. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
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—meaning more than 70% of people at most organizations are going without access to the critical information needed 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 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. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation. Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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MicroStrategy
Published By: TIBCO Software     Published Date: Nov 07, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: MicroStrategy     Published Date: Nov 06, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation (see figure 1). Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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MicroStrategy
Published By: Box     Published Date: Nov 06, 2019
Unstructured business content contains critical information that can be tough to extract, manage, and analyze. Artificial intelligence capabilities can automate many manual processes and help unlock this valuable resource. To find out more download this whitepaper today.
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Box
Published By: Google     Published Date: Nov 04, 2019
"As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business. Read the report and find out how you can manage application development to unlock its full potential."
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database servers, cloud database, application infrastructure, cloud database, data integration
    
Google
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise
Published By: Intapp     Published Date: Nov 01, 2019
Chief Marketing Officers who modernize business development strategies can accelerate revenue and market share growth with both new and existing clients. This requires unifying data across the entire client lifecycle, making that data transparent, and developing insights that drive better decision making across the board. How much of an impact can this modern approach make? According to a recent study conducted by ALM Legal Intelligence and Calibrate Legal, the investment pays off with Am Law 200 firms seeing an average return of $47 million on $1 million of marketing and business development spending. Download this point of view to learn what it takes to transform today’s law firm marketing from reactive to predictive. Topics include: Winning business with data-driven insights CMOs as change agents The data divide Smart collaboration in action: Key-client planning The pivot: From reactive to predictive
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Intapp
Published By: Google - SAP     Published Date: Nov 01, 2019
"Report: 2019 Predictions for Customer Data Management Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019? In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace. You’ll discover: Forecasts for the future of data protection and consumer privacy regulations Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
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Google - SAP
Published By: Kinaxis     Published Date: Oct 07, 2019
Leaders of European businesses take improvement of the employee experience very seriously. It is a matter of senior management discussion at the vast majority of organisations surveyed by The Economist Intelligence Unit, and many ascribe it strategic importance. The reason: a growing understanding that, more than individual factors, it is the totality of an employee’s experience with the organisation, from recruitment to departure and even beyond, that influences their contribution to its success.
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Kinaxis
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: Pure Storage     Published Date: Sep 27, 2019
For most enterprises, 60 to 73 percent of enterprise data goes unused for business-intelligence (BI) and analytics efforts, according to Forrester.1 Data that is out of sight or out of date creates a competitive blind spot for businesses today. With customer demands, economic changes, and new trends and technologies evolving at a dizzying pace, staying relevant — not to mention competitive — requires that businesses access all available BI to be ?exible and agile. Businesses must have quick access to data that is comprehensive, accurate, current, and consumable in real time. A traditional infrastructure, where the online analytical processing (OLAP) platform and the online transaction processing (OLTP) platform are separate, makes ?exibility and agility difficult to achieve. When a business has accurate, current data in hand, it can make real-time data-driven business decisions so that it can stay relevant and competitive, or even be a disruptor in its industry. One way that a busines
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Pure Storage
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence (AI), automation, Internet of Things (IoT), blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies.
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Group M_IBM Q4'19
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
Published By: HERE Technologies     Published Date: Sep 23, 2019
It’s time to move your supply chain into the realm of super-intelligent. This special report is for anyone looking to enhance their supply chain operations by utilizing the latest in technological advances such as artificial intelligence (AI), machine learning and the Internet of Things (IoT). With smart use of these tools, businesses can anticipate problems and develop solutions before they occur. Forward-thinking leaders are using this disruption to optimize their supply chains and push the quality of their findings to a whole new level. In it, you’ll learn: • The markers of a truly cognitive supply chain • The crucial role of location intelligence in supply chain optimization • The impact increased visibility has on every area of your supply chain, including asset, inventory, fleet and energy management
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HERE Technologies
Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Every kind of online interaction—website visits, API calls to mobile apps, and others—is being attacked by bots. Whether it's fraud, scraping, spam, DDoS, espionage, shilling, or simply altering your SEO ranking, bots are wreaking havoc on websites as well as mobile and business applications. But that’s not all: they’re also messing with your business intelligence (BI). They can skew audience metrics, customer journeys and even ad buys, making business decisions questionable and costly. According to Forrester, ad fraud alone was set to exceed $3.3 billion in 2018. Not all bots are bad. In fact, your business depends on them. Search engine bots, for example, give your web presence visibility and authority online. Other good bots help you deliver better customer experiences—perhaps a chatbot provides instant customer assistance on your site. What’s important is enabling the good bots and blocking the bad ones."
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F5 Networks Singapore Pte Ltd
Published By: BlackBerry Cylance     Published Date: Sep 18, 2019
“More than 70 percent of cyber attacks target small businesses," according to National Cyber Security Alliance estimates. That’s not surprising when you consider how many small and medium-sized businesses (SMBs) still rely on legacy AV tools despite their repeated failures to stop modern malware, ransomware, and zero-day attacks. Legacy AV is a lose-lose-lose proposition for SMBs. Attacks get through and cause damage. IT staff struggle to keep up with endless signature file updates from their AV vendors. End-users complain about sluggish system performance during scans and signature file updates. Fortunately, next-generation solutions are now available that protect endpoints with artificial intelligence (AI) rather than signatures. Ready to learn more? Then read the new eSecurity Planet executive brief sponsored by BlackBerry Cylance.
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BlackBerry Cylance
Published By: MicroStrategy     Published Date: Aug 29, 2019
Dresner Advisory Services’ eighth annual Cloud Computing and Business Intelligence Market Study in 2019 shows user confidence at an all-time high, with cloud offerings outnumbering traditional on-premises offerings. Sentiment toward cloud and cloud BI turned sharply positive in 2018, with current and future user plans both trending up. Results from our 2019 Dresner Advisory Services New Year User Survey reinforced those findings with ongoing momentum. Sentiment is at an all-time high, and the majority of organizations—51 percent—use cloud BI in 2019. Cloud-based BI vendor products and services are now more plentiful than traditional onpremises products. Still, vendors support any deployment option the customer chooses: public, private, or hybrid, at multiple levels of scale and price. Customers benefit from these choices, which reduce the chance for vendor lock-in. Users have not settled on deployment models but are migrating toward subscription and the adoption of managed services. Ou
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MicroStrategy
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
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
Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: BillingPlatform     Published Date: Jul 30, 2019
Organization leaders and companies of all sizes are leveraging digital transformation in their industry, market, and business using a myriad of disruptive technologies like connectivity, the Internet of Things, blockchain, business intelligence and big data. CFOs who manage to get in front of these technologies will lead their businesses to greater success. This eBook illustrates how cloud-based billing management offers the quickest path toward this transformation. Download this eBook to explore how the right solution can help you: • Monetize IoT and increase revenue • Launch product innovations quickly • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today.
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BillingPlatform
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