As a leader, it's crucial to ensure they understand the broader context, the big picture, and the problem this insight aims to solve. Equally important is empowering them to take ownership, not only of the tasks at hand but also of presenting these insights to stakeholders, allowing them to take pride in their contributions.

Would try to understand their view point/concerns first in regards to the data. Initiating collaborative and healthy discussions around the scenarios leading to the data can actually solve the issue at a logical level and would also help the team members solve their queries right there. Designing a control test environment for the teammates to help them understand the practical and logical approach to the results.

To overcome resistance to data insights, effective communication is key. Employ the 5 Cs: 1. Clarity: Present data in a relatable way, using stories and visuals that connect with your team's experiences. Avoid jargon and focus on key takeaways. 2. Conciseness: Keep it short and to the point. Use bullet points and visuals to break down information. 3. Concreteness: Provide specific examples and evidence to support your claims. 4. Correctness: Ensure data accuracy and reliability. Double-check sources and be transparent about limitations. 5. Coherence: Present information logically and organized. Maintain a consistent message. .

To win over your team on data insights: 1. Recognise Issues: Accept what their concerns are, and hear their apprehension. 2. Make Insights Easier: Visualisation and Jargon providing values of the particular department. 3. Capture Benefits: Tell them about success stories and simple wins to gain their confidence. 4. Engage the Staff: Get them involved in data activities and train them. 5. Establish Authority: Present data that is objective and related to results. 6. Promote Honesty: Ask for opinions and understand that improvement will take time. 7. Set A Good Precedent: Apply insights to your decisions, be flexible.

Engaging a team with data insights starts with presenting the data in an accessible and visually compelling format, such as dashboards or infographics, to make it easy to understand. Regularly sharing actionable insights during team meetings helps connect the data to their goals and responsibilities. Encouraging collaboration by inviting team members to interpret and discuss the data fosters ownership and alignment. Additionally, offering training to improve data literacy ensures everyone feels confident working with insights. Celebrating wins tied to data-driven decisions further reinforces the value of leveraging analytics in their work.

Winning my team over when facing pushback on data insights requires a thoughtful, strategic approach that emphasizes clarity, collaboration, and empathy. Here are some key steps to effectively address the situation: 1. Understand the Source of Pushback 2. Clarify the Value and Relevance 3. Build Trust in the Data 4. Involve Them in the Process Collaborate 5. Demonstrate Success and Impact 6. Provide Support and Training Educate 7. Be Patient and Open to Iteration

Every Data need to have a story to narrate. It has to be presented in such a way that team should correlate with data with real time experience. If the data in the form of pictorial representation rather than tables and matrices, it would be easy for the team to connect with it

First: make sure your data is 100% accurate. The last thing you want in a push back situation is that there is mistakes. Now let's come to the elefant in the room: the pushback. It actually has nothing to do with the data but with the fact that they either don't understand it - in which case you need to change your narrative OR the more likely one: you hit a nerve. Best advise: before you share insights highlight that there is things coming that go against what we believe and therefore we need to agree that we don't just have a desire for change but TO change

Try to understand the reasons for the pushback and then address them accordingly: 1. Relevance/ Actionable : Insights which are not practically possible would ideally not be entertained since there would hardly be any ideal state. 2. Delivery time : The response time is most important in terms of insights which might be overdue in case the time taken is longer 3. Workload/ Effort : Incase the team feels the suggestion is adding on unnecessary work without impact.