Training Your Staff on Data Analysis
How can your company take columns and rows of numbers across various spreadsheets and turn them into actionable insights? Two words: Data analysis. Modern businesses need a way to make sense of key metrics—and quickly! After all, the primary reason for keeping such data on hand is to use it for future decision-making, right?
But data analysis is only as useful as it is accessible. Having centralized data analysis tools empowers organizations to boost collaboration between team members and entire departments. It also reduces the turnaround time on reports and data models.
Ask Questions from Data
Are your employees asking the right questions from the available data? A relational search engine makes it as simple as entering a Google-like search query to retrieve instantaneous results. All a team member needs to get started is an idea of what they’re seeking—whether they’re trying to analyze last year’s sales data, a geographical breakdown of customers or anything in between. Without any specialized training, they can view and configure the results on a custom dashboard.
Bring Data to Life
Humans are visual creatures by nature. We need to see it to believe it. That’s why data visualization is so crucial in bringing facts and figures to life in the form of charts, maps, graphs and more. Since visualization tools choose the automatic best-fit for representing given data, employees no longer have to struggle with creating their own visual representations following data analysis.
Some available chart types include: column, line, pie, scatter, heatmap, funnel and more.
Break Down Barriers
The key to boosting office communication and collaboration is removing barriers to entry. With shared company-wide metrics, anyone with permission can engage in data analysis. Suddenly a salesperson preparing for a pitch doesn’t have to wait for an analyst’s formal report to create informational slides. Marketers and content creators can work hand-in-hand to determine the ROI of certain campaigns and adjust output accordingly. Leadership teams can interact with exactly the same information their employees do on a daily basis.
Advanced Analytics: Moving Toward AI, ML, and NLP
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