Articles from Analytico on reporting, dashboards & bi tools — built for teams who actually rely on their numbers.
27 articles
Are your Looker Studio numbers wrong? Learn to spot and fix silent aggregation mistakes like averaging CTRs, incorrect data blends, and COUNT_DISTINCT errors.
Power BI for Mac enables advanced data visualization and informed decision-making, ensuring efficient data analysis and sharing.
Looker Studio Connectors integrate data from various sources, enhancing marketing report accuracy for informed decision-making.
Adding data sources and creating reports in Looker Studio is essential for integrating diverse data and generating insightful visualizations.
What are semantic models in Power BI? These are structured data layers; transforming raw data into organized for analysis, reporting, and visualization.
How to set up scheduled refreshed in power BI? Go to Power BI service data settings, then, edit credentials, configure schedule refresh, and set frequency.
Data blending with Looker Studio involves pulling data with same dimensions from the data sources and blending them according to a common reference point.
The Data Visualization Consultant Toolkit enhances data presentations, aiding clear communication and better decision-making with essential software.
Reasons business intelligence consultants use Power BI include cost-effectiveness, advanced visualization, data security, & tools like DAX and Power Query.
Integrating Google Analytics with Tableau enables enhanced data visualization and insights, crucial for data-driven decisions in digital marketing.
How to Create a Dashboard in Power BI? Import data, establish relationships between data, make a report, then pin data to the dashboard and customize.
Power BI transforms raw data into actionable insights. It helps in strategic planning by providing real-time analytics and visualizations.
Custom dashboards improve engagement in an accurate manner, ensuring stakeholders can easily interpret relevant insights, and enhancing decision-making.
Data visualization tools transform complex data into clear insights, enabling the identification of patterns, trends, and enhancing understanding of data.
Data visualization best practices with Tableau include customization, right charts, simple visuals, effective colors, and using its special features.
Data visualization in business intelligence condenses complex data into understandable insights, enabling quicker and more informed decision-making.
An inbound marketing dashboard enables real-time monitoring, data-driven decisions, and ROI measurement for optimized strategies.
Maximize the content marketing game by creating a content marketing dashboard to track performance metrics, and optimize your campaigns effortlessly.
Creating a B2B digital marketing dashboard is a necessity for a business to grow. In today's age, analyzing and optimizing strategies is crucial.
Optimize, track, and monitor with our SEO Dashboard. Understand your strategy with actionable insights for peak performance and competitive edge.
In the era of decision-making, ethical practices in data visualization are crucial to maintain integrity and transparency across industries.
Rising digitalization fuels the growing demand for data visualization. It uses colors, shapes, and patterns to reveal insights from complex numerical data.
AI-powered data visualization involves automation of data collection, analysis, and visualization. AI & ML enable NLP, predictive analytics, and insights
Geospatial data visualization for targeting local markets uses geospatial and data analytics maps to understand audiences and make better decisions
Winning Customers are demanding. A great experience is crucial, and investing in data visualization for customer journeys becomes a competitive advantage.
Color psychology in data visualization improves clarity, emphasizes key insights, and evokes emotions, enhancing the communication of complex information.
The Google Looker Studio CASE WHEN function enables users to organize and analyze website data according to custom conditions to make data-driven decisions
