Frequently Asked Questions.

Dataque Analytics is a data-driven organization that provides business intelligence insights through innovative tools in big data analytics, machine learning, and market research. We aim to influence our clients’ business decisions strategically by delivering insightful products and advanced analytical capabilities.

We offer a wide range of services including:

Data Analytics (descriptive, predictive, diagnostic, and prescriptive analytics)
Data Intelligence (data mining, NLP, data visualization, data cleaning, algorithm development, business intelligence)
Market and Social Research (quantitative, qualitative, and mixed-method research)
Survey Scripting
Online Panel Services
Training and Consultation
Industry-Specific Questions

We specialize in several industries including:

Information and Communication Technology (ICT)
Healthcare
Financial Services
Retail
Education
Media and Entertainment

We enhance product value delivery, customer engagement, and go-to-market strategies in the healthcare sector. Our services include advancements in tools and equipment, diagnostics, and digital health solutions, as well as comprehensive market research and business intelligence services tailored specifically for healthcare.

 

We offer integrated insights into customer experiences, purchase journeys, trends, and strategic advice to support retail businesses. Our services include consumer loyalty, competitive analysis, mystery shopping, retail sale analytics, and more to help retailers stay ahead of the competition.



 

Descriptive Analytics: Understanding historical data through detailed reports and visualizations.
Predictive Analytics: Forecasting future outcomes using statistical models and machine learning.
Diagnostic Analytics: Uncovering root causes of specific events.
Prescriptive Analytics: Providing actionable recommendations to optimize decision-making.

We leverage machine learning and statistical models to uncover patterns and trends within your data. Our services include data mining, NLP, data visualization, data cleaning, algorithm development, and business intelligence, which collectively enable businesses to make more accurate predictions and informed decisions.

 

We employ both quantitative and qualitative research methods:

Quantitative Research: Survey design, data collection and analysis, market and consumer research, impact evaluations.
Qualitative Research: Focus groups, in-depth interviews, ethnographic research, content analysis.
Mixed-Methods: Combining quantitative and qualitative approaches for comprehensive insights.

We design and develop surveys with clear and concise questions, program them using advanced survey software, conduct testing and quality assurance, and manage data integration and collection to ensure accurate and actionable data.

 

We offer training in big data analytics, data visualization, machine learning and AI, and market and social research. These programs are designed to equip your team with the necessary skills to excel in the digital age.

 

Our consultation services include business intelligence and strategy, data analytics and optimization, market and social research, and competitive intelligence and benchmarking. We provide personalized guidance to help your business achieve its goals.

Contact Information
12. How can I contact Dataque Analytics for more information?
You can reach us by phone at +254-789-748-560 or email at info@dataqueanalytics.com. Our office is located in Nairobi, Kenya. Feel free to contact us for any inquiries or support related to data analytics and market research.

Why Choose Us

Why Choose Us.

Innovative and Comprehensive Analytical Solutions

Our expertise spans big data analytics, machine learning, and market research, offering a holistic approach to understanding and predicting market trends.

Industry-Specific Expertise and Customization

Our team of experts combines extensive industry knowledge with rigorous analytical methods to provide customized solutions that address your unique challenges.

Hire Us For Your Project

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