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Developing a use-case is the most important first step in data analytics projects. A recent Jinfo Community session explored this topic and provided some specific actions you can take to begin or enhance their development. These specific actions will help you and your team create a use-case that includes all of the phases of a data project including: developing the initial project goal, determining what datasets are required and providing provisions for ongoing maintenance.
When analytics projects don't deliver it's usually because the use-case wasn't clearly defined and insufficient thought went into measuring the benefits. In a recent Jinfo webinar, Marc Vollenweider of Evalueserve took a detailed look at everything that goes into defining a use-case, as well as the future role of information professionals in the brave new world of data analytics.
With greater use of analytics in organisations large and small, the licensing of data - especially from third parties - is a growing challenge. In a recent Jinfo Community session, participants discussed how they tackle this thorny issue, as well as educating stakeholders in their organisations and planning for much greater use of analytics in the future.
In the second of three webinars forming part of Jinfo's current Research Focus, "Stake your claim in the success of data analytics", we discussed the challenges information professionals face when successfully managing data licensing for current and future projects. This webinar presented key steps that information professionals can take now to partner with internal stakeholders and external suppliers to create a future that's economically sustainable in terms of data purchasing
In the first of three webinars held as part of the Jinfo Research Focus, "Stake your claim in the success of data analytics", we presented key steps that information professionals can take to prepare for a more inclusive role in current and future data analytics projects. This article presents an overview of what was discussed including ways information professionals can leverage existing skills and learn new ones.
How best to manage data, whether it's produced internally or externally, is an area that many information teams are finding increasingly complex, and one that technology alone cannot fix. In a recent Community session, participants discussed the ownership and visibility of data, and how to keep sets correct, clean and complete for analytics, text and data mining.
Andrew Lucas selects publishing highlights from the articles, reports and research published in the Research Focus "Stake your claim in the success of data analytics", from challenges and skills gaps to opportunities for information professionals to lead the way.
Jinfo talks to NLP text mining software provider Linguamatics about latest developments in the field and use-cases in the pharmaceuticals and healthcare industry. Interviewer Chris Porter finds out more about the Linguamatics software platform, known as I2E and how it makes use of AI, NLP and machine learning to make sense of unstructured text, how it saves time, and how I2E supports taxonomies and ontologies.
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.
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.
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.
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