• RSS
  • Twitter
  • FaceBook

Related Topics

Add White Papers

Get your company's white papers in the hands of targeted business professionals.

data driven organization

Results 76 - 88 of 88Sort Results By: Published Date | Title | Company Name
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
Tags : 
    
SAS
By: SAS     Published Date: Mar 20, 2019
Whatís on the chief data and analytics officerís agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And thatís just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
Tags : 
    
SAS
By: SAS     Published Date: Mar 20, 2019
In todayís crowded analytics marketplace, who can you trust? Whatís needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
Tags : 
    
SAS
By: Oracle     Published Date: Nov 13, 2013
Being responsible for one-third of a businessí success already puts HR in a critical role. But itís not just about finding the best peopleóitís about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And itís about guiding your executive team to the right decisions using the language they understand best: numbers. Talent managementócovering everything from recruiting and compensation to ongoing education and retentionóhas traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In todayís data-driven world, CEOs demand more. This new study conducted by HR.com explores whatís working for organizations today and the biggest gaps to fill.
Tags : 
zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly, business management, employee performance, productivity
    
Oracle
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 organizationsí challenges with data preparation and discuss technologies and best practices for making improvements.
Tags : 
    
SAS
By: SAS     Published Date: Jun 05, 2017
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar,†Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
Tags : 
    
SAS
By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
Tags : 
    
SAS
By: Oracle     Published Date: Nov 01, 2013
Being responsible for one-third of a businessí success already puts HR in a critical role. But itís not just about finding the best peopleóitís about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And itís about guiding your executive team to the right decisions using the language they understand best: numbers. Talent managementócovering everything from recruiting and compensation to ongoing education and retentionóhas traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In todayís data-driven world, CEOs demand more. This new study conducted by HR.com explores whatís working for organizations today and the biggest gaps to fill.
Tags : 
zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly, business management, employee performance, productivity
    
Oracle
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 canít, the disrupted in this period known as the ďera of Digital Darwinism.Ē 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 organizationís analytics initiatives.
Tags : 
    
MicroStrategy
By: Marketo     Published Date: Jun 08, 2017
As a marketer, you know how critical it is to understand how your marketing efforts contribute to the bottom line. Thereís a lot that goes on behind-the-scenes to generate sales pipeline and ultimately revenue. And by becoming a data-driven marketer thatís in tune with the right metrics, you can demonstrate marketingís contribution to both. Metrics illustrate the impact that you and your team are driving in the organization, which is critical to ensure you have the budget and resources you need to deliver optimum business outcomes. Without metrics, itís nearly impossible to measure the success of your activities and identify elements to optimize in future campaigns. And without them, thereís no way to determine your return on investment (ROI).
Tags : 
    
Marketo
By: Oracle     Published Date: May 03, 2018
More than 75% of business leaders say their current ERP system doesnít meet their requirements, let alone future plans. To enable todayís data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be ďmodernizedĒ. To help you navigate your own journey to modernization, weíve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
Tags : 
guide, erp, operation, data, organization, company
    
Oracle
By: Lookout     Published Date: Aug 28, 2017
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Tags : 
data protection, mobile risks, productivity tools, cyber attacks, device vulnerabilities
    
Lookout
By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
Tags : 
    
Group M_IBM Q418
Start   Previous    1 2 3 4     Next   End
Search White Papers      

Community Area

Log in | Register

Solution Center

Follow TechGenix on Twitter