Business service data can provide valuable insights into the performance, efficiency and quality of your processes, products and customer interactions. However, to make sense of the large and complex data sets generated by business services, you need the right tools to collect, organize, analyze, and visualize them. In this article, we’ll explore some popular tools you can use to analyze sales data and how they can help improve your decision making and results. .
Data collection tools
Data collection tools are software applications or platforms that help you collect, store, and manage data from a variety of sources, such as web analytics, surveys, CRM systems, social networks association or internal database. Data collection tools can help you automate data ingestion, ensure data quality and integrity, and integrate data from diverse sources into a unified format. Some examples of data collection tools are Google Forms, SurveyMonkey, Zapier, and Microsoft Power BI.
Data analysis tools
Data analysis tools are software applications or platforms that help you perform various types of statistical, mathematical, or logical operations on your data, such as filtering, sorting, grouping, aggregating , calculation or modeling. Data analytics tools can help you discover patterns, trends, correlations, outliers or anomalies in your data as well as test hypotheses, make predictions or optimize solutions. Some examples of data analysis tools are Excel, R, Python, and Tableau.
Data visualization tool
Data visualization tools are software applications or platforms that help you create and present graphical representations of your data, such as tables, charts, maps, dashboards, or graphics information. Data visualization tools can help you communicate the results of data analysis in a clear, concise, and engaging way, as well as highlight key insights, comparisons, or relationships in the data your. Some examples of data visualization tools are Google Data Studio, Power BI, Tableau, and Canva.
Data storytelling tools
Data storytelling tools are software applications or platforms that help you create and deliver compelling stories based on your data analysis and visualization. Data storytelling tools can help you contextualize your data, add relevant details, explanations, or emotions, and connect with your audience’s needs, interests, or goals . Data storytelling tools can also help you format and convey your data story across different channels, such as reports, presentations, blogs, or social media. Some examples of data storytelling tools are PowerPoint, Prezi, Medium, and Lumen5.
Data management tools
Data governance tools are software applications or platforms that help you establish and enforce policies, standards, and best practices for managing and using your data. Data governance tools can help you ensure security, privacy, compliance, data quality and consistency, as well as monitor and audit activities, processes and performance your data. Data governance tools can also help you identify and document data sources, their structure, meaning, and ownership. Some examples of data governance tools are Collibra, Alation, Informatica, and IBM Data Catalog.
Data mastery tools
Data mastery tools are software applications or platforms that help you acquire and improve your skills and knowledge in collection, analysis, visualization, storytelling, and governance data. Data literacy tools can help you access relevant courses, tutorials, resources, or certifications, as well as test your skills, track your progress, or get feedback. Data literacy tools can also help you foster a data-driven culture in your organization, engaging and empowering your employees, customers or partners through data. Some examples of data literacy tools are Coursera, DataCamp, Qlik Sense, and Data Literacy Project.
