business intelligence solutions

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Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Mar 06, 2018
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence Practice, sees particular interest and application in AML circles. "There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses: • The new industry intrigue with artificial intelligence a
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SAS
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: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: Epicor     Published Date: Jun 22, 2017
If you’ve started to think your lumber and building materials (LBM) business could be getting more from your software, then it might be time for a change. It is no longer sufficient to own a solution that is “good enough.” The most successful LBM companies know that growth comes from integrated online trading, access to business intelligence tools, and using technology to be more efficient. It can be daunting to make the switch to a new enterprise resource planning (ERP) system, and with so many options, it’s hard to know when if you’re choosing the right one. Epicor has provided LBM businesses with the tools needed to make the most informed software choice. The lumber and building materials solutions evaluation kit consists of three white papers that tell you: • How to know when you’ve outgrown your current software solution • How to choose between generic and industry-specific ERP systems • How to outperform in an era of LBM sales growth You’re ready for growth. Learn how Epicor ca
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.
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SAS
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, business technology, data center
    
CDW
Published By: SAP     Published Date: Jul 18, 2016
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
Traditional business intelligence tools provide limited explanations of why something happened, because most BI solutions are geared more for reporting and dashboarding workflows.
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SAP
Published By: Mitel     Published Date: Jun 29, 2016
After years of being chained to the old ideas of office productivity, businesses are realizing that liberated employees are empowered employees. When you free people from the tethers of the office, amazing things start to happen: productivity rises, borders and barriers disappear, innovation replaces enervation, and the quality of work improves as employees’ quality of life improves.
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productivity, best practices, business intelligence, business management, information technology, solutions
    
Mitel
Published By: SolidFire_NetApp     Published Date: May 10, 2016
When comparing the architecture for Ceph and SolidFire, it is clear that both are scale-out storage systems designed to use commodity hardware, and the strengths of each make them complementary solutions for datacenter design.
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data management, business practices, data center. data application, enterprise applications, business intelligence, solutions
    
SolidFire_NetApp
Published By: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
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Looker
Published By: Cherwell Software     Published Date: Sep 22, 2015
This ebook provides three concrete methods for keeping modern IT departments cutting edge and competitive.
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application management, business intelligence analytics, business process management (bpm), contact center solutions, customer service best practices
    
Cherwell Software
Published By: IBM     Published Date: Jun 16, 2015
Building and managing cloud resiliency solutions in-house is difficult. Many organizations prefer to work with a third-party technology provider for the development and management of cloud solutions.
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cloud computing, business intelligence, cloud solutions, recovery point objectives, virtualization technologies, recovery solutions
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
This white paper discusses the different support challenges that can confront you when implementing a smarter infrastructure that includes new solutions like cloud initiatives, virtualized environments and other new breeds of computer models. To keep these solutions running daily, you should consider the level of support that will be required.
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it infrastructure, business intelligence, it solutions, cloud solutions, virtualized environments, it maintenance, it support, business technology
    
IBM
Published By: IBM     Published Date: Jun 03, 2015
Facilities count as a major expense for most organizations, if not the number one cost of business. But through enhanced facilities management, organizations can reap huge potential savings. Learn how to create smarter buildings through the right facilities management system in this detailed report, which includes multiple checklists on critical features.
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facilities management, asset management, benchmarking, management program, amp, gap assessment, reliability, implementation, best practices, business intelligence, business management, solutions
    
IBM
Published By: Extreme Networks     Published Date: Sep 17, 2014
In this eBook, we will demonstrate specific use cases for how a business intelligence solution can be used effectively by IT operations.
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extreme networks, purview, application analytics, wifi/wireless, network solutions, business intelligence solutions, business intelligence, it operations, it management, data mining, networking, network technology, network optimization, business analytics, application, application security
    
Extreme Networks
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: IBM     Published Date: Feb 10, 2014
Working with BrightStar Partners, an Avnet Services company, and IBM, the PDZA team has developed a new analytics solution that combines real-time weather data with ticket sales and attendance information to help forecast visitor numbers much more accurately than ever before.
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ibm, brightstar, business analytics, software, ibm cognos business intelligence, data management, data warehousing, operational efficiency, customer service, insights, data delivery, marketing, customer analytics, mobile solutions, email, social media, software development, it management, business technology
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data, it managers, implementing analytics, ba systems, ba solutions, in-house analytics, ba capability, scorecarding, time-to-insight, business risk, business planning, data management
    
IBM
Published By: Birst     Published Date: Jul 16, 2013
Covering 23 vendors and 5 market segments, the 2013 Wisdom of Crowds Business Intelligence Market Study helps readers understand the current market landscape including the perceptions and plans of organizations adopting BI solutions, the latest user trends and technology.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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value, business intelligence, disclosure management, solutions
    
IBM
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