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In the final part of the analysis of the results of the Jinfo survey, "Data analytics needs and concerns 2017", Robin Neidorf explains why the challenges around finding, licensing and paying for third-party data are incredibly painful. She also suggests how buyers and sellers might work together better and how information centres could improve their licensing skills in this developing area.
Chris Porter catches up with Pim Stouten, vice-president of global strategy at legal and business information provider LexisNexis to hear about the latest developments in text mining, particularly busy with developments to its front-end product interfaces in order to meet the needs of particular types of customers - "more specific user interfaces that return more precise results and make more sense for specific types of users".
This article continues analysis of the results of the Jinfo survey, "Data analytics needs and concerns 2017", and diagnoses which skills and characteristics information teams already have in this area, and which need to be improved. Both are important considerations when it comes to leveraging your strengths and planning staff development and recruitment in 2018.
Robin Neidorf introduces Jinfo's research into data analytics needs and concerns, reporting on findings including where ownership for data analytics sits, how many of the information team have responsibilities relating to data analytics, and types of internal and external data projects they're involved in.
How is the pharmaceutical industry innovating in data analytics and visualisation techniques? This article provides an overview of recent developments in the sector and reveals how disruptive technologies such as artificial intelligence have started to make an impact. It also looks at how non-pharmaceutical companies, including Google, are developing new approaches, and highlights tools and resources for data scientists working within the sector including IBM Watson and BenevolentAI.
In this overview we report on our early insight into Evalueserve's beta product, Usecasehub. The tool is designed to create a process framework for your company's portfolio of analytics projects from idea generation through to measurement. It's aimed at improving results, speed of time-to-market...
Whether or not your organisation currently has big data initiatives in place, you should care about the data analysis process. If you are able to find high quality data, ensure that it is uncorrupted and applicable to research projects, review it to understand its implications, and communicate its meaning and impact to stakeholders, then you will be taking several concrete steps toward becoming an integral part of data teams in your organisation.
We delve further into Usecasehub, a tool from Evalueserve to govern and evaluate the success of analytics use-cases. We examine the user interface for data analytics and heads of department, how it can aid collaboration, be customised and implemented. Competitors such as Lucidea and SharePoint are highlighted along with evaluation of the value that a purpose-built solution like Usecasehub can bring.
Find out how Evalueserve's beta product, Usecasehub, can create a process framework for your company's portfolio of analytics projects from idea generation through to measurement to improve results, speed time-to-market and ensure effective knowledge sharing.
Where are the biggest skill gaps in analytics success? How important is use-case expertise? Take the "Jinfo survey - data analytics needs and concerns 2017" (open until December 15th, 2017). Tell us your views and you will receive a copy of the summary report as a thank you.
Robin Neidorf outlines early results from our survey on data analytics needs and concerns and highlights which essential skills will enable an information team to become a must-have resource in an organisation's data strategy, and which are the skills with the biggest gaps between need and ability.
Organisations are starting to see that knowledge, information and data are the new competitive advantage. Internal departments collaborate to improve products and enhance deliverables, but with different content and datasets, outcomes are often ill-defined. Information professionals are perfectly positioned to solve this problem, and with their unique skill set they can understand the multiple uses of data and find business solutions. This article looks at some of the ways information professionals can make their role and work essential to their organisations and ensure they are invited to the table for future projects.
We interview Marc Vollenweider, co-founder of Evalueserve, about use-cases for data analytics and artificial intelligence, including the gaps between potential and reality, putting the needs of the business at the heart of analytics projects and how to help people start thinking and working with analytics in a practical way.
DLA Piper is one of the largest law firms in the world; we talked to Dominic Judge, senior legal innovation manager, about their use of machine learning contract analysis Kira, how it stacks up against competitors, its accuracy compared to human contract review, and how lawyers felt about the introduction of AI and machine learning.
Data analytics helps organisations make appropriate business decisions. Data is stored and analysed to study a range of commercial and operational subjects, which can help with targeted advertising and alignment of content and layout. However, many businesses, particularly smaller companies, have no data analytics strategy. In this article, John Orosa looks at the five phases of data development an organisation will typically go through, gives some practical examples of the application of data analytics, and offers some tips on developing a data analytics strategy within your organisation.
In this market landscape we look at eight products in the field of authentication and access:
Gluu server IAM platform
Shibboleth Identity Provider
WSo2 Identity Server.
We provide a brief description of...
Featuring analyst Amy Affelt.
"Yes, but what will we do with it?" A consistent challenge in addressing the emerging world of data analytics is how best to nail down practicalities.
Are you confronting these questions?
What are the B2B applications of analytics and which will...
Information teams have valuable expertise to contribute to data analytics projects within organisations but to be recognised they need to be able to measure and demonstrate those skills. In this article, Andrew Lucas looks at the types of data that all information professionals should be able to work with and how to map their skills to organisational need using Jinfo's model and ensure that other stakeholders are aware of what the information centre can contribute.
In this market landscape we look at six providers of online courses and highlight courses from their portfolio in the field of data analytics and artificial intelligence:
The British Computer Society
University of Southampton.
We provide a...
Keen to strengthen your portfolio management and negotiations around third-party data?
As more organisations explore and implement data analytics projects, we continue to face the challenges of appropriate licensing:
Data suppliers have a range of approaches to licensing... and some...
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Document the value chain, and transform the way you think about, manage and report on your product portfolio and your information service contributions to your organisation goals.
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Risk assessment is a required process for a healthy information department. It gauges the ability of your services, team, portfolio and overall value to withstand stress.
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