statistician

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Published By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
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data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science, business technology
    
Teradata
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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Waterline Data & Research Partners
Published By: SAS     Published Date: Nov 10, 2014
Learn about the four benefits of interactively creating, running, and evaluating high-performance analytic models and see how this will allow your organization to get a fast, interactive interface without all the tedious experimentation.
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sas, visual statistics, analytics, interactive interface, statisticians, business analysis, business management, interactive modeling, descriptive modeling, data management
    
SAS
Published By: IBM     Published Date: Oct 21, 2015
IBM SPSS Solutions offer a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end.
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ibm, data, analytics, data scientist, statistician, networking, data management, business technology
    
IBM
Published By: Optimizely     Published Date: Dec 01, 2015
Statistics are the underpinning of how Optimizely’s customers use data to make decisions. We use experiments to understand how changes we make affect the performance of our online experiences. To do this, we need a framework for evaluating how likely those changes are to have an impact, positive or negative, on a business over time. To run great experiments, investing in an understanding of statistics is one of the most important skills you can develop. Statistics provide inference on your results and help to determine whether you have a winning variation. Using statistical values to decide leads to stable, replicable results you can bet your business on. Lack of understanding can lead to errors and unreliable outcomes from your experiments.
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statistics, experiments, data, customers, results, variation, it management, knowledge management
    
Optimizely
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: IBM     Published Date: Apr 04, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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smarter approach, inside ibm, business, analytics, solutions, mid size businesses, engineers, leverage
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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ibm, ibm business analytics solutions, business analytics, analytics solutions, midsize businesses, financial reporting, business intelligence, desktop data visualizations, data mining
    
IBM
Published By: Optimizely     Published Date: Nov 05, 2015
Statistics are the underpinning of how Optimizely’s customers use data to make decisions. We use experiments to understand how changes we make affect the performance of our online experiences. To do this, we need a framework for evaluating how likely those changes are to have an impact, positive or negative, on a business over time. To run great experiments, investing in an understanding of statistics is one of the most important skills you can develop. Statistics provide inference on your results and help to determine whether you have a winning variation. Using statistical values to decide leads to stable, replicable results you can bet your business on. Lack of understanding can lead to errors and unreliable outcomes from your experiments.
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statistics, experiments, data, customers, results, variation
    
Optimizely
Published By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
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