Des Moines Business Record’s Post

Have you provided feedback before on a PHUSE Working Groups deliverable? This is a great opportunity to shape our white papers and have your say on important publications that will help shape the industry. The Good Transparency Practices project within the Data Transparency Working Group, is now calling for feedback. Their recent White Paper aims to define a set of best practices for data transparency and create a Good Transparency Practices guidance. The best practices will aim to ensure anonymised data is compliant with the legal requirements as defined by Regulators, as well as preserves as much data utility as possible. ↳Good Transparency Practice (https://lnkd.in/eGCdTzQw) ↳Appendix 1. Best Formatting Practices (https://lnkd.in/e4MwDVkJ) ↳Appendix 2 Examples of Structured IPD Anonymisation_Public Review (https://lnkd.in/eE_fwiex) ↳Appendix 3. Examples of Unstructured IPD Anonymisation (https://lnkd.in/eab75gsb) Please send in your comments to [email protected] by 3 May.

📈 Clients who have chosen to use REDD's services have experienced a true transformation in their work. They no longer have to rely on intuition and general statistics, but instead have access to specific, up-to-date, and precise knowledge that enables informed decision-making. With just a few clicks, they can receive a comprehensive report that previously took several weeks to compile. 👇 Check it out: https://lnkd.in/dQM8jdJi

Here's an article I've written for the Financial Technologist magazine. What role do consultancies play in the massive failure rate of digital transformations? I'd love to hear your thoughts.

The eValuate Insights Page (https://lnkd.in/dyHZqspZ) shares relevant and up-to-date information on Cost Management. Topics Covered: 💡 eValuate: What can it do for you? 💡eValuate: For Effective Laboratory Cost Management 💡Cost-per-Test: Activities are the key 💡Cost-per-test: Decoding the different calculation methods 💡Cost-Per-Test: Exploring the What and Why 💡Understanding the Data: What Should I Consider? 💡Breaking Down Laboratory Finances: Origins and Allocations 💡Introduction to Laboratory Finance: The Key to Sustainable Operations 💡Revolutionizing Laboratory Management with eValuate™: A Game-Changer for Efficiency and Cost Optimization 💡Maximizing Laboratory Efficiency with eValuate™: A Game-Changer for Operation Directors 💡Revolutionizing Laboratory Financial Management with eValuate™ If you have any specific questions, please reach out to Matthys Greeff, Fred Kloren, Christian van Zyl and Wilhelm Boshoff.

Taxonomies are the make-or-break of any research repository. Put simply, they’re a way of organising and structuring tags. Taxonomies help teams keep research and insights organised, and make it easier for people to find specific knowledge across studies and teams. But the way you tag insights has another huge benefit. It also helps you to discover previously unseen gaps and opportunities in your existing data. It’s why the process of building an effective taxonomy has become a hot topic of discussion within today’s research and design communities. In this video we share 4 questions that any team looking to improve their taxonomy, or build one from scratch, can use to level up their taxonomy game. https://lnkd.in/eyHM4E8G #research #taxonomy #tipsandtricks

A good enterprise knowledge graph does these things well: * Helps an organization find actionable answers to hard questions. * Decentralizes the access to those answers so that more people can take informed actions and solve hard problems. * Decentralizes the access to shared business rules and contexts so that there's broad agreement and alignment on how to take action. Such a knowledge graph starts with thoughtful, methodologically sound research and data collection, including how to find the right questions to ask. Good knowledge depends on sound divergent and convergent research. If you're not harnessing the power of a good knowledge graph, you're still looking for your keys under the lamppost because that's where your only light is. Illuminate more places to get better answers quickly and make better decisions. From my 2022 Quora answer at:

A snippet from the latest issue of Insights Express. Read the full issue: https://lnkd.in/ed5AQESy

Open-source LLMs paired with high-quality annotations boost sentiment-driven strategies. RavenPack researchers fine-tuned FinBERT, an LLM trained on financial data, with RavenPack Annotations, a dataset of financial sentences enriched with nuanced sentiment labels. This resulted in a 48% increase in Information Ratio and a 47% uptick in annualized returns. Check out the one-page Executive Brief to learn more about our approach.

Insights will be interesting