Sentences with phrase «of predictive analytic tools»

Implementation researchers can inform the use of predictive analytic tools both before and after their adoption.

Not exact matches

Joseph Pigato is the managing director of Sparked, which helps companies retain their customers through sophisticated predictive analytics and engagement tools.

InsideSales» tool takes predictive dialing to the next level, using analytics to determine the best time of day to contact each person on a call list.

Access to high - quality contact data, market trends, and emerging predictive analytics tools allow for rapid segmentation of high - quality accounts and prospects.

Best of breed solutions and significantly increased investment in product innovation focused on accelerated data collection, deeper predictive analytics, enhanced account - based marketing capabilities, and seamless data optimization and enrichment in CRM, marketing automation, and sales engagement tools

The «better way» is made possible when Hire Enterprise is paired with the Educators Professional Inventory (EPI)-- a predictive analytics tool that allows district leaders to objectively assess the future impact of candidates and provides a roadmap for their professional learning.

A majority of the higher education analytics tools currently on the market claim to use predictive analytics, but there are relatively few tools that truly implement predictive analytics.

The main selling feature of TradeSpoon is their predictive analytics, which they deploy in a multitude of tools, like their «Bulls / Bears» ranking system, seasonal charts, probability calculator, ActiveTrader, ActiveInvestor, Stock / Futures / Forex Forecast Toolbox, Trade Idea Tool, Stock Focus List, Portfolio Toolbox, and RoboInvestor.

«In the long - term we want to leverage the power of the legal brief to create collaborative tools and predictive analytics to help lawyers (especially solo practitioners) more effectively conduct legal research.»

I find it difficult to imagine the fortunes of OUP, CUP, Informa or Bloomsbury being significantly pursued in content, process software, analytic and predictive tools and / or other services for lawyers.

Lawyers need to also take advantage of new tools which development in technology have brought about to work more effectively — lawyers now have access to tools that help make contract drafting and review quicker using artificial intelligence; tools that speed up research time by using electronic law reports, and there are even tools in other jurisdictions which attempt to use data to predict outcomes of court cases using predictive analytics.

At present, Big Data tools for the legal profession are focused primarily on helping law firms to enhance their internal business functions and processes, such as time management and billing, or for predictive analytics in a range of internal legal applications.

Attorneys will start using tools like legal project management software to start tracking what they're doing and using the information that is collected for predictive analytics and the building of predictive models that will allow clients to understand how much they'll spend and what the outcomes may be.

All of the panelists agreed that whether or not predictive coding is being used on a matter, keywords / search terms still have a useful place in the e-discovery process, as do other analytics tools including de-duplication and email threading.

Our search and analytics experts have years of experience getting the most out of our unique predictive analytics tools.

Legal chatbots, artificial intelligence (AI); data analytics; predictive tools; collaboration between / among lawyers and other professionals, paraprofessionals, and machines will also be elements of legal delivery.

While the R&D shop has developed client facing expert systems, document automation tools and predictive analytics — the most notable project this year is called SeytMap, which earned the firm ILTA's «Innovative Project of the Year Award» — an award the firm has now won two years running.

This approach enables the LexisNexis team to concentrate on PreDiscovery level by developing on a strong base of powerful early case assessment tools and integrating predictive coding, data analytics, and intelligent review devices across the workflow.

«The traditional and conventional methods that have been employed through all the elections in the last century may still work, but they will be unlike new strategies and tactics that are products of behavioural micro-targeting, psychographic profiling, predictive analytics and many other modern tools.»

Key takeaways included: 1) The permanent shift towards experiential retail with a clear focus on experiencing a brand's culture and community, as well as testing and touching products before buying them; 2) the rise of shared office spaces stemming from new work habits which have created a market for office space which isn't owned by an employer, but that workers can rent or subscribe to as members; 3) the importance of predictive investment analytics has created greater access to data and data tools that can help practitioners track with and get ahead of markets trends; 4) the increasing need to focus on more responsible and effective land use as it becomes an increasingly precious commodity; 5) the rise of automation in the transportation industry which is driving a need for nimbler supply chains connecting scalable manufacturing spaces and warehouses in the industrial sector.