Datatinga

Marketers, Product folks and anyone else who leans on data to drive decision making, what are the most pressing challenges you face when it comes to the process of extracting tangible value from data? Quick poll below ??

The Biggest Challenges in Managing Knowledge—What’s Yours? In today’s data-driven world, teams are drowning in information, yet often struggle to find the right insights when they need them. From scattered data silos to the lack of AI-powered search, knowledge management challenges can slow down decision-making and hinder collaboration. We want to hear from you! Vote in the poll and join the conversation in the comments?? #DataManagement #AI #KnowledgeSharing #TeamCollaboration

One of the best ways to position Marketing teams to pull more weight is to put actionable data at everyone's fingertips - all the time. Using AI to pull in external best practices that work for others is good. Being able to quickly zero in on what has been proven to work for YOU is great. Having both easily accessible for all, in the same confine is the greater than great. When the wider team is more glued into what peer teams and colleagues are doing and learning, so much goodness happens. Stronger connective tissue across the organization, better focus on common organizational goals and more collective action on data.

Data is one of the most valuable assets in business today—but only if you can?access it when you need it. Too often, teams waste hours searching for information instead of using it to drive strategy and results. ??? As a Digital Marketer from a B2B tech customer put it: “Without Datatinga, we’d be spending 3x the amount of time looking for information. This gives us more time for strategic thinking and execution.” That’s the difference between?staying competitive and falling behind.?When your team has instant access to the right insights, they can?move faster, make better decisions, and focus on innovation instead of information-hunting. ?? What’s the most frustrating part of searching for information? Let us know below! ?? #DataDriven #BusinessIntelligence #DecisionMaking #Marketing #Innovation #Insights

Mountains of data are building all around us, but this does not necessarily translate into better decisions and outcomes. As Rishad Tobaccowala and Sunil Gupta highlight in?Extracting Insights from Vast Stores of Data (link in comments below ??), businesses are drowning in information but often struggle to extract real value. ?? 30% of a company’s time is spent just searching for data.?That’s time lost ? instead of driving strategy, innovation, and growth. ?? The key isn’t just having more data—it’s having?the right insights at the right time.?At?Datatinga, we transform scattered information into a?centralized, intelligent system, so teams can move from analysis to action - faster and more intelligently. ?How does your team ensure data leads to better decisions??Drop your thoughts below!??? ?#DataDriven #BusinessIntelligence #DecisionMaking #Marketing #Innovation #Insights

Data storytelling helps to communicate key points from data. But in a world of feeds & distractions, those stories better be short and to the point. The key to growth is fueling internal knowledge and making actionable insights more accessible. By delivering discreet, easily searchable nuggets of information with a consistent structure, more of the workforce will seek and consume the information that needs to be acted upon. And it's data-informed action that drives better outcomes.

AI isn’t replacing humans—it’s empowering us.?As a Harvard Business Review article puts it,?“Humans with AI will replace humans without AI.” Our AI, powered by Co-Tinga?, helps organizations collect, organize, and apply their research, knowledge, and best practices—transforming scattered insights into actionable intelligence for smarter decision-making. Instead of wasting hours searching for hard-earned insights, teams can instantly access what they need with just a few clicks. Less redundancy. Faster decisions. Smarter execution. The article highlights how AI?lowers the cost of cognition?by taking some of the mental workload off our plates. When AI amplifies human expertise—connecting and sharing human-generated insights across teams—it strengthens collaboration, acting as a connective force between people and technology. What makes Co-Tinga? different? It blends AI efficiency with human-vetted insights, giving organizations the speed of AI while ensuring knowledge remains data-driven?and?contextually relevant. See how AI and humans create the ultimate 1-2 punch. Request a free demo today:?[email protected] ?? Full Harvard Business Review article linked in the comments ??

When knowledge is scattered across different platforms, inefficiencies, duplicated efforts, and missed opportunities arise. Is there a better way? The average interaction worker spends 28% of the workweek managing emails, and nearly 20% tracking down information or colleagues who can help with specific tasks (McKinsey &Company). That's almost half the week lost to inefficiencies. According to the same McKinsey report, a searchable record of knowledge can cut this time by up to 35%, yet many companies still struggle with fragmented information. At Datatinga?, we simplify knowledge management by centralizing insights, streamlining collaboration, and ensuring critical data is always accessible. Whether it's past research, key takeaways, or ongoing projects, our platform turns scattered information into a single source of truth, empowering teams to work smarter and make decisions faster. ?? How does your team currently manage knowledge sharing? Drop your thoughts below! ?? #KnowledgeManagement #Productivity #DataDriven #Collaboration #Efficiency

Who would have thought data and insights could be instrumental in breaking down organizational silos? We built Datatinga primarily to help organizations extract more value from data derived from quant and qual research work. ?We saw a world where employees at companies of all sizes and industries were either wasting time aimlessly looking for information, or just deciding to stop looking because the nuggets to take action on were too difficult to find.?Both of these outcomes create a drag on productivity. As we have matured our product, we started to realize the impact that centralizing knowledge in the form of data and insights has on company culture.?Groups that were used to working in isolated knowledge silos started working together more, with common company targets in mind.?As we accelerate our adoption of AI in the product, the flywheel spins faster, improving efficiencies further. Have you seen challenges with knowledge sharing at organizations you've been at??We invite you to brainstorm with us on solving an industry-agnostic problem - organizational silos.?Connect with us at [email protected] and let's bridge silos together. Learn more at datatinga.com

Congrats Datatinga Team! Onward and upward in 2025.