Las modificaciones suelen crear polémica entre muchos profesionales del sector informático de la fabricación. El término "estándar" también tiene connotaciones muy diversas, ya que se suele asociar con las antiguas soluciones genéricas para empresas que ofrecían funcionalidades rudimentarias con el pretexto de que su aplicación era muy simple.
Directed at cloud architecting concerns, this paper covers streamlining complexity at scale, knowing infrastructure state, and using easily repeatable patterns that bolster security, compliance, and disaster recovery. Get this white paper now.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Tax evasion is the largest economic crime in the world (in terms of monetary loss), costing trillions of dollars to governments around the globe. A 2011 study by The Tax Justice Network estimates that on a global scale, total tax evasion is in excess of US$3.1 trillion, or about 5.1% of world GDP.1 And that’s just the known tax evasion and noncompliance; it doesn’t include the underground economy and cash businesses.
Physicians and their patients, medical policy makers and licensing boards, pharmaceutical companies and pharmacies all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths. With so many players and data sources, today’s information is partial, fragmented, and often not actionable. We don’t have the data to understand what’s happening, to adjust policy, and to motivate physicians and patients to change their behaviors.
Better data and analytics can help develop better treatment protocols, both for pain in the first place and for remediation when patients are becoming dependent on the drugs.
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens.
From cars to factories to cities, many governments are already collecting information from citizens and connected devices that send and receive data over the internet of things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, no one knows how many or what new types of intelligent devices will emerge. But we do know that traditional approaches to data management and analytics may not be sufficient for sustaining value in this new, connected world
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.
Email is the primary communication system and file transport mechanism used in organizations of all sizes. Email systems generate enormous amounts of content that must be preserved for a variety of reasons, including:
-Compliance with local, state, federal and international statutory requirements
- Electronic discovery requirements and best practices
- Knowledge management applications
- Disaster recovery and business continuity
All those employees who access email, financial systems, human resources, and other core corporate applications; Replay for Exchange continuously protects and monitors the health of your Exchange data stores and allows administrators to quickly search, recover, and analyze mailbox content. With Replay for Exchange you can restore individual email messages, folders, or mailboxes to a live Exchange server or directly to a PST, thereby solving some of your most costly and time consuming challenges. Take advantage of these Free Trial Offer!!
Windows Server 2012 represents a paradigm shift from the traditional client/server model to a new cloud-based infrastructure. Is your business ready? Download this whitepaper to learn the 7 key questions you need to answer now
Read this eBook to get insight on the essential elements of a modernized B2B integration architecture. Companies need a strategy as they think about modernizing their B2B integration capabilities. This eBook describes what to look for and how IBM can help.
You’ll learn about:
· Operating a single, secure B2B integration gateway
· Simplified onboarding and partner management.
· High availability business operations and disaster recovery
· Adaptable capabilities to help react to changes to your business processes
· Visibility and analytics that provide actionable insight over those processes
· Supporting a mix of hybrid deployment models including on-premises and cloud
Enterprises routinely claim to be focused on the customer experience, yet few really keep that promise. What’s in the way? Fragmentation and complexity in both customer data and customer-facing processes. IIA spoke with Wilson Raj, Global Director of Customer Intelligence, and Jonathan Moran, Customer Intelligence Product Marketing at SAS Institute Inc. about how organizations can leverage technology platforms and analytics to become more completely and genuinely customer-centric – making connections in the right way, at the right time, and on the right device.
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals.
Let’s take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. You’ll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoft’s widely used productivity tools – to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought.
To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time.
SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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 Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
This Checklist explores how AI can be used to enhance marketing analytics and to help companies both better understand their customers and deliver a great customer experience. It also provides practical advice on how organizations can use what they may already be doing to become more effective in marketing.