business intelligence strategy

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Published By: SAP     Published Date: May 22, 2012
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; align people, conversations, and data with business strategy; and make the most of the infrastructures we have today.
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sap, business intelligence, business analytics, technology
    
SAP
Published By: MicroStrategy     Published Date: Aug 12, 2012
A detailed look into how to Give retailers the right information at the right time to make the right decisions.
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business intelligence, microstrategy
    
MicroStrategy
Published By: Dell & Microsoft     Published Date: Aug 14, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
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data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell & Microsoft
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q119
Published By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
Published By: CA Technologies EMEA     Published Date: May 25, 2018
Many of the largest, most successful organizations in the world use CA Project & Portfolio Management (CA PPM) as the cornerstone of their business intelligence (BI) strategy. This allows CA to keep a finger directly on the pulse of the market—to see firsthand how both expectations and usage are evolving as companies adopt BI technologies.
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business, project, portfolio, management, technology
    
CA Technologies EMEA
Published By: MicroStrategy     Published Date: Mar 15, 2011
Learn about enterprise business intelligence (BI). Taught by a MicroStrategy expert, this free, one-day class includes core principles of business intelligence, product demonstrations, and hands-on exercises.
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microstrategy, enterprise business intelligence class, business intelligence
    
MicroStrategy
Published By: Dell     Published Date: Sep 12, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
Tags : 
data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell
Published By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
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barc. business intelligence, analytics, customer feedback
    
IBM
Published By: IBM     Published Date: Oct 13, 2009
A BI agenda for midsize organizations: Six strategies for success
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business intelligence, bi strategy, ibm, cognos, reporting, delivery
    
IBM
Published By: Microsoft Dynamics     Published Date: Jul 03, 2008
In this webcast, we discuss how companies excel when they empower their people to drive the business forward. While strategies, organization, motivation, and leadership all set the stage for business success, you also have to give your people the right tools, information, and opportunities to see results—because ultimately success is determined by your people. Learn why we call a business that fosters a winning environment a "people-ready business."
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microsoft, business activity, business intelligence, business analytics, analytics, analytical, business strategy
    
Microsoft Dynamics
Published By: IBM Smarter Analytics     Published Date: Jun 04, 2012
Learn how Westfield Insurance developed an award-winning, business-led smarter analytics competency
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ibm, business analytics, business solutions, insurance, smarter analytics, business intelligence strategy, integrated analytics, insurance agency performance
    
IBM Smarter Analytics
Published By: SAP     Published Date: May 11, 2012
Explore the benefits of BI, the components of a successful BI strategy, and the steps all companies should take to determine their current level of BI need and effectiveness.
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business intelligence, business intelligence solution, bi strategy, idc
    
SAP
Published By: SAP     Published Date: Jul 17, 2012
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story. The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making. Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders. Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
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sap, best practices, business intelligence, analytics strategy, technology
    
SAP
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics
    
Adverity
Published By: IBM     Published Date: Dec 21, 2012
Learn how different departments can use IBM Cognos Business Intelligence solutions to create scenarios, collaborate on strategy and execute and monitor progress on new initiatives.
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ibm, cognos, business, intelligence, demo, business analytics
    
IBM
Published By: TIBCO     Published Date: Aug 18, 2014
Today, the open API is one of the most powerful sources of competitive advantage. It comes down to the potential of your data and services. Download this new eBook to learn how a well thought-out API strategy can help you compete and grow in new ways.
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tibco, api, byod, end user intelligence, business intelligence, byod, mobile device users, business strategy
    
TIBCO
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: SAP     Published Date: Jun 30, 2011
Insight is important to any organization. But to small businesses and midsize companies, it's critical. Read this informative IDC executive brief and learn which questions your long-term business intelligence strategy should answer to keep your business on the path toward greater insight, efficiency, and flexibility.
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sap, competitive differentiation, idc, business intelligence strategy, smbs, experience, analytics, decision management
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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SAS
Published By: Gleanster Research     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 229 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions and analysis of 32 solution providers. Most organizations today have business intelligence (BI) tools or at least some way of churning out reports. Fewer have a true business intelligence strategy or a well-architected BI platform for generating actionable insights. Broadly considered, BI encompasses all aspects of gathering, storing, cleansing, analyzing and distributing data. This Gleansight benchmark report reveals how Top Performers are justifying their investments in next-generation BI capabilities, how they're overcoming implementation and organizational hurdles, and how, as a result of their investments, they're now able to make more timely and better informed business decisions across multiple organizational functions.
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gleanster, business, benchmark, business intelligence, roi
    
Gleanster Research
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q2'19
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