Top5

Top 5 benefits of data analytics tools 

Data analytics tools convert unstructured data into focused and easy-to-understand visual representations of key metrics for project collaborators to take in and act on. 

Whether you are a business professional with a non-technical background or a data scientist, these tools enable you and your teams to quickly turn data into insights that help you make better decisions. They benefit you in five primary ways that involve data management, visualizations, AI-driven analytics, sharing of business intelligence, and governance. 

1. Let tools prepare your data

Analysis always begins with gathering data and getting it ready for study and interpretation. Many organizations rely on analysts to combine and package data manually before they start analyzing it. But even when great care is taken to include all relevant data, a manual process risks missing vital pieces of information or inadvertently including incorrect data. 

Get better results with connected data 

Data analytics software enables you to aggregate self-service and enterprise data in one view, even when it comes from multiple places. Make sure the tools you choose have the capabilities to bring all your data sources together, including Excel queries and data modeling. 

Once you have the data you need all in one place, comprehensive data analytics tools can efficiently cleanse it to make sure it’s complete, accurate, up to date, properly formatted, and free of duplicated or irrelevant information. That saves a lot of time for your analysts. 

Draw meaning from big data 

The sheer amount and variety of data that companies accumulate now, and the speed with which it generates every day, make fast and clear analysis a necessity. Data analytics tools that are designed to scale can handle big data in a way that traditional databases can’t. 

Analyzing large-volume data sets is also challenging if you need to include a constant influx of information from multiple sources. Data analytics tools help you interpret massive amounts of data on broad topics such as current market trends or the preferences of customer segments. 

2. Translate data into vivid storytelling

Visualizations are a cornerstone of what data analytics tools can do for you, as they turn your composite data into useful business information. Data visualizations unify data to turn it into compelling stories and create a greater understanding of your business performance. They also serve as a powerful aid to persuade others on the best courses of action for your organization. 

Strengthen decision making 

Bringing data to life in an engaging visual display makes it easier for all your colleagues to make sense out of complex information, uncover critical insights, and arrive at better decisions. The tools of data visualization enable you to: 

• Create your visual representations with pre-built templates. 
• Add images, text, color, and memorable design elements. 

• Clarify your analysis with charts, graphs, pivot tables, and summary views. 
• Reveal trends and patterns that might otherwise be hard for people to see. 

Track financial progress 

Visualization tools also consolidate data into dashboards that display key performance indicators (KPIs) in areas like sales revenue and marketing performance. The tools enable you to customize and refresh dashboards for specific departments or analyses, providing you with a big picture on how strategies are working. 

3. Get deeper insights with AI

As you research data analytics software, look for tools that incorporate artificial intelligence (AI) and machine learning. These help your project collaborators and company understand past performance, make predictions about the future based on that knowledge, and plan proactively. 

Better understand customers 

Individual predictive analytics help you know your customers better and reach them with greater efficiency and effectiveness. This augmented analytics uses AI and machine learning to help businesses anticipate future market demand by analyzing historic data on behaviors and preferences of customers in different groups. 

Some data analytics software provides predictive AI capabilities that don’t require any code training or experience, making it possible for more people across your organization to use them. This helps non-technical business professionals prepare data and extract valuable customer insights. It also benefits technical professionals by enabling them to do these things faster. 

Benefit from advanced AI 

Advanced statistical analytics gives your data scientists and machine learning engineers ways to make advanced data models, build better visuals, learn more from data, and enhance planning. This kind of AI capability is supported by the R open-source programming language. 

4. Share business intelligence

Once you and your collaborators have drawn insights from data visuals, reporting software helps you share your business intelligence with people inside and outside of the organization. 

Reporting software that’s part of your data analytics toolkit lets you efficiently publish your findings, embed visuals, and assign permissions for those who need to see your report. It also simplifies report distribution, sustains version control, and avoids offline copies. 

Create and distribute custom reports 

Make reports your own with format and layout themes customized for your business. Reporting software also lets you publish in the way that works best for your communication, such as paginated static or interactive reports made in a table format. You can also optimize reports, making it easier for people to open and read on mobile devices. 

Designate how often you want a particular type of report to go out, such as every week or once a month. Or make ad hoc self-service reports available that answer specific questions whenever people need those answers. A large-scale benefit of reporting software is that it can distribute reports created by analysts across your company to a large list of recipients. 

5. Protect your data

You may have concerns about security when you think about connecting large quantities of data from multiple sources and later publishing business intelligence. Look for data analytics tools that have safeguards to protect customer data, and encryption keys that keep sensitive data private while in transit. 

Data analytics tools with built-in protection benefit you by blocking risky activities that pose threats to data. When you share reports, those tools can provide workspace-level security by publishing to a separate workspace. They also enable row-level security by restricting data access at the row level, and letting you set broader access controls where you need them. 

Choose tools that let you analyze data with your governance features working in the background. And make sure your tools help you comply with the standards, regulatory controls, and certifications of your industry, like IL6, FedRamp, HIPAA, and FINRA. 

Taken directly from: https://powerbi.microsoft.com/en-ca/data-analytics-tools/