analytical

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By: Drillinginfo     Published Date: Nov 26, 2015
Today data sources are still not detailed enough to support competitive decision-making, and that’s what makes Drillinginfo (DI) so innovative: The DI platform offers the most inclusive, accurate, and fastest information available, allowing OFS companies to make informed decisions and drive the best leads — that can turn into opportunities. With DI, OFS companies can now make rig data useful quickly and easily. Sales managers can work crucial data into an actionable format, provide and implement the right analytical tools, and supplement lead intelligence, so operators don’t get left in the dust. From permitting and leasing information to rig locations and pricing trends, you’ll find innovative products and solutions from DI to help transform how your team qualifies leads and closes deals. See how Drillinginfo can drive your success by gathering the very latest rig intelligence from a comprehensive, easy-to-use SAS solution.
Tags : ofs companies, leads, data, analytical tools, oilfield, leasing information, mobile app, rig intelligence
     Drillinginfo
By: Aberdeen Group     Published Date: Nov 13, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
Tags : customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
     Aberdeen Group
By: FICO     Published Date: Sep 02, 2016
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
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     FICO
By: IBM     Published Date: Aug 24, 2016
Join IBM SPSS experts for an overview of the SPSS Modeler platform as they discuss how SPSS Modeler can help you meet modern analytical challenges.
Tags : ibm, analytics, spss, ibm spss, statistics, spss modeler, modeler, enterprise applications, business technology
     IBM
By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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     IBM
By: Carbon Black     Published Date: Apr 10, 2018
A dversaries, and cybercriminal organizations in particular, are building tools and using techniques that are becoming so difficult to detect that organizations are having a hard time knowing that intrusions are taking place. Passive techniques of watching for signs of intrusion are less and less effective. Environments are complicated, and no technology can find 100 percent of malicious activity, so humans have to “go on the hunt.” Threat hunting is the proactive technique that’s focused on the pursuit of attacks and the evidence that attackers leave behind when they’re conducting reconnaissance, attacking with malware, or exfiltrating sensitive data. Instead of just hoping that technology flags and alerts you to the suspected activity, you apply human analytical capacity and understanding about environment context to more quickly determine when unauthorized activity occurs. This process allows attacks to be discovered earlier with the goal of stopping them before intruders are able t
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     Carbon Black
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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     TIBCO Software
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software
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