Harsh Thakkar 's Linkedin Analytics

Only two ways to be the best in life sciences: 1. Stick to rules or best practices. 2. Mix quality right into your work and tech. Most companies do the first one. But just following rules doesn't mean you've got all your compliance problems solved. When making a quality or regulatory decision, you: - Look at your quality records. - Make a spreadsheet or report from them. - Guess your next step using your experience. This means your Quality Management Maturity isn't strong. You end up wasting tons of money and time on: - Hiring consultants. - Looking at data. - Building reports in systems. - Checking reports twice. - Worrying about the next quality problem. In the best case, a great QA team fixes issues early. But it's hard to show your team why QA work is so important. Ever been asked: "Why isn't this policy followed?" "What do we do about bad suppliers?" "Can we automate this process?" "What's the real root cause here?" "How do I see important KPIs right now?" Your data has the answers. It can be: 1. Neat (like in spreadsheets). 2. Messy (like photos, texts, surveys). Gartner says 80% of our data is the messy kind. Humans don't find value in going through the mess. It frustrates them. Machines, on the other hand, don't care. They have no feelings and can be configured or trained. And, if you don't clear this mess that I described, You look for data like looking for a missing sock in your laundry. Wondering how to keep data handy? We can help. What you get: 1) DATA ANALYSIS - We contextualize your data. You can easily find what you need. 2) WORKFLOW AUTOMATION - We'll show you how we saved a big biopharma 65% of its manual work. 3) SYSTEM INTERCONNECTIVITY - We help you link your systems for better data transfer. Want to improve your quality management maturity? Let us know where to start. Prefer to keep doing things the old way? That's okay too. 👉🏼 DM me or visit my website to learn more.