business analytics

Results 1 - 25 of 704Sort Results By: Published Date | Title | Company Name
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
Tags : 
aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
Tags : 
amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: Sage BMS Enterprise     Published Date: Nov 02, 2017
These are the end times for traditional enterprise resource planning (ERP) solutions. Overstatement? Not really—especially for growing businesses like yours. Old-school ERP systems are simply too slow, complex, and inflexible to keep up with today’s business climate. Think about your existing ERP. Does it support industry-specific best practices, ever-changing regulatory requirements, and emerging technologies such as social media, mobile, cloud, and analytics? If not, you could risk losing ground to your competitors as a result.
Tags : 
workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting
    
Sage BMS Enterprise
Published By: Sage BMS Enterprise     Published Date: Nov 02, 2017
Did you ever wonder what enterprise resource planning or ERP is and how it can help your business? Or perhaps you know a little about ERP but you’re not sure if you should opt for an on-premise or cloud solution and what to expect from your final choice. Don’t worry. If you’re a business owner, manager or director in a mid-sized or growing business and you’re confused about ERP, this guide will help you.
Tags : 
workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting
    
Sage BMS Enterprise
Published By: Sage BMS Enterprise     Published Date: Nov 02, 2017
Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges. For more information, visit forrester.com/consulting.
Tags : 
workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting
    
Sage BMS Enterprise
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.
Tags : 
barc. business intelligence, analytics, customer feedback
    
IBM
Published By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
Tags : 
ibm, cognos analytics, business intelligence, customer experience, marketing
    
IBM
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
Tags : 
    
Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
Tags : 
    
Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
Tags : 
    
Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
Tags : 
    
Oracle Hardware
Published By: OC Tanner     Published Date: Nov 09, 2017
All around the world, corporations are investing significant resources to improve workplace culture with mixed results. How about you? Are your culture-building efforts creating a great employee experience? Are they attracting good people and inspiring them to achieve? Are they driving business results? Or are they going to waste? Discover how focusing on the right culture priorities can help you influence greatness in your organization in this new joint study by the O.C. Tanner Institute, Y2 Analytics, and Harvard Business School professor, Ashley Whillans.
Tags : 
workplace culture, employee experience, culture priorities, talent magnets, oc tanner
    
OC Tanner
Published By: Hubble     Published Date: Oct 03, 2017
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to Oracle E-Business Suite to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as: How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs Avoiding over-investing in dated ERP tools Industry analyst’s take on how to get better reporting and planning best practices and tools How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
Tags : 
    
Hubble
Published By: SAP     Published Date: Feb 05, 2011
Learn how best-in-class companies access information faster to improve key business performance metrics.
Tags : 
business performance, sap, real time analytics, business intelligence, analytics
    
SAP
Published By: SAP     Published Date: Jun 18, 2011
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
Tags : 
real-time business analytics, faster decision making, business automation, business metrics, analytical data, sap
    
SAP
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 08, 2017
The underground economy is thriving, thanks in part to new technologies and business models such as digital currencies and online marketplaces for freelance services. SAS fraud specialists reveal how government agencies can uncover these activities – and the tax obligations not reported from them. A former head of compliance for the country’s fourth-largest state workers' comp program describes how a comprehensive analytics program found a tax gap of $718 million and was granted funding to double the team’s size without even asking.
Tags : 
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
Tags : 
    
SAS
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.
Tags : 
    
SAS
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
As a new era of analytics takes hold, a key characteristic is using analytics to automate IT tasks and decisions. In this Harvard Business Review paper, Tom Davenport describes the opportunity for greater use of analytics in IT, the eras of analytics and how IT will grow and change.
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
Tags : 
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
Tags : 
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
This Harvard Business Review Insight Center report is a compilation of 26 short stories -- only a page each -- from industry experts and thought leaders versed on the promises and challenges of big data.
Tags : 
    
SAS
Start   Previous   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Related Topics

Add Your White Papers

Get your white papers featured in the Data Center Frontier Paper Library contact:
Kevin@DataCenterFrontier.com