Skip to content


We are committed to delivering high-quality, data-driven insights that empower businesses to make informed decisions, seize opportunities, and navigate the ever-changing consumer landscape.

Photo by Daria Nepriakhina 🇺🇦 / Unsplash

Our dedication to neutrality sets Datum Intelligence apart from other research companies. To eliminate any biases and guarantee our clients' confidence in our numbers so they can make smarter business decisions, we've built a strict proprietary data vetting and contextualization methodology.

Our Data Sources

Our research team collects data from over 1000 global sources. Sources includes company filings, government data, media, research firms, industry associations and consumer surveys.

Our teams use this data for analysis and data synthesis to discover market trends, influential companies, historical data, and other important market influencers.

Data Collection

We employ various data collection methods to gather relevant information. Primary data is collected through surveys, interviews, focus groups, and observations, allowing us to directly engage with consumers. Secondary data is sourced from reputable industry reports, market research studies, government publications, and academic literature.

By combining primary and secondary data, we achieve a robust and multifaceted understanding of consumer trends.

Sampling Techniques

We employ rigorous sampling techniques to ensure the representativeness of our data. Our sampling methods include random sampling, stratified sampling, or purposive sampling, depending on the research objectives and target population. We strive to include diverse demographics and segments to provide a comprehensive view of consumer trends.

Data Analysis

Our team of skilled researchers utilizes advanced analytical tools and techniques to analyze the collected data. Quantitative data analysis involves statistical methods such as regression analysis, correlation analysis, and trend analysis to identify patterns, relationships, and statistical significance. Qualitative data analysis involves techniques like thematic analysis, content analysis, and sentiment analysis to extract meaningful insights from textual and visual data.

Market Sizing and Forecasting

To forecast upcoming market trends and opportunities, our market sizing and forecasting team makes use of statistical models, time series analysis, and other forecasting approaches.

To create precise estimates, we take into account elements like historical data, market drivers, economic indicators, consumer behaviour, and the competitive environment.

Our forecasting and trend analysis enable businesses to anticipate market shifts, adapt their strategies, and stay ahead of the competition.

Validation and Reliability

We prioritize the validation and reliability of our research findings. To ensure accuracy, we conduct thorough checks, cross-validation of data, and sensitivity analyses. We also compare our results with existing literature and seek expert opinions to validate our insights and forecasts.

Continuous Learning and Improvement

Consumer behavior and trends evolve continuously. To stay at the forefront of knowledge, we continuously monitor industry developments, technological advancements, and socio-economic shifts. We regularly update our methodologies, incorporate new data sources, and refine our analytical approaches to reflect the dynamic nature of consumer trends.

We strive to maintain the highest standards of professionalism, integrity, and accuracy in all our research endeavors. If you have any questions or require further information, please don't hesitate to contact us. We value your trust and are committed to providing you with valuable insights to support your strategic decision-making.