Choose the Right Mobile BI Solution for Your Business!

What Do I Need to Know Before I Choose a Mobile Business Intelligence (BI) Solution for My Business?

What makes a great Mobile Business Intelligence (BI) solution? There are many factors to consider and, if you do not choose wisely, you risk a) spending a lot of money and getting very little in return, b) working with incorrect, old or incomplete data, c) having to upgrade and spend even more money, d) disappointing your team and falling short of objectives, e) missing your Citizen Data Scientist initiative goals.

Use Smart Data Visualization to Improve Decisions!

Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration!

Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.

Mobile BI Improves Productivity and Results!

Add Mobile BI for Your Team and Improve Access, Analytics and Business Decisions!

Recent surveys reveal that the mobile BI market is growing by leaps and bounds. Of those surveyed, over 35% of companies said that mobile BI is in use among their business users. While some businesses have yet to adopt BI tools or augmented analytics for their business users, many have done so, and are now in the process of adding mobile BI to the set of tools available to users. There is no doubt that the COVID pandemic affected this strategy, since many businesses are now embracing a full-time or a hybrid remote work environment that requires team members to have access to tools from wherever they are working.

Self-Serve Cross-Tab BI Tools Reveal Issues and Possibilities!

Self-Serve BI Tools with Cross-Tab Reporting Improve Clarity and Results!

If you are considering a Business Intelligence solution or BI tool, or if you wish to upgrade your business intelligence and reporting tools, look for a solution that has self-serve cross tabulation, or cross-tab reporting. Cross-Tab reporting reveals the relationship between two factors or targets. This analytical tool can be used for side-by-side comparisons and to compare results for one or more data points, variables, or targets.

Did you know that, by some estimates, data-driven businesses are nearly 25% more likely to acquire customers? If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!

‘Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions.’

In this article, we discuss the value of self-serve BI tools with Cross-Tab capabilities and the benefits of this type of focus and insight.

Cross-Tab Reporting Gives Business Users Insight Into Data

Benefits of Self-Serve Cross Tabulation Reporting

Flexible for Business Use Cases

Cross-tab reporting allows for intuitive use by business users with average technical skills, and can be beneficial for all types of business functions and industries. In an educational setting, a university or school might use cross-tab reporting to analyze teacher or course evaluations, looking at the relationship between student satisfaction and the subject, the class time, class location and other factors. Businesses can analyze team and employee satisfaction and attrition by looking at job location, benefits, the results of exit interviews, available training, and support, etc. Cross-tab reporting is frequently used in market research to analyze the various factors that relate to product or service satisfaction, including product features and options, where and how the product is sold, the sales and marketing approach, etc. A retail store owner might use cross-tab data analysis to determine customer satisfaction by looking at demographics, the gender of the person buying the product, the price of the product in a particular region, etc.

Data Clarity

There are many ways to slice and dice data and many ways in which crucial information can hide inside that data. The self-serve cross-tab reporting approach allows business users to examine relationships among data points and factors, with more clarity and accuracy. This type of analysis provides more clarity and reveals results, interdependent relationships and factors that might otherwise be missed. Users can avoid confusion when working with data and analyze large datasets to reveal frequencies and percentages. With this information, the business can understand the ‘what if’ of the various factors and see how results would change if one factor or relationship is changed.

Fact-Based Decision-Making

Self-serve cross-tab reporting simplifies analytics and allows business users to spot trends and patterns and collaborate with other team members to adapt tasks and activities to resolve issues and/or capitalize on opportunities. Using cross tabulation reporting to understand the connection and relationship between two or more factors allows the business to make a decision, with confidence. Rather than guessing the reason for declining results, increased employee attrition or other problems, the enterprise can clearly see what factors (and the relationships among factors) are the cause of a problem and how to change those factors to get better results.

‘If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!’

Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions. By giving your team members these tools, you can leverage domain and industry knowledge and combine data analytics in a day-to-day environment without the need for assistance from data scientists or the IT staff. Self-Serve Cross-Tab reporting produces clear results that are easy to understand and can be used in staff meetings and presentations to support recommendations and help the business become more agile.

Look for seamless Business Intelligence Reporting And Flexible Tools that include self-serve Cross-Tab reporting. Provide business intelligence that your IT team can easily implement and support, and a solution that business users will want to adopt. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : Cross-Tab Reporting Gives Business Users Insight Into Data!

Use a BI Tool with Cross-Tab Deep Dive Features!

Why It’s Important to Include Cross-Tab Deep Dive in Self-Serve BI Tools!

When a business decides to implement a self-serve business intelligence (BI solution, it must ensure that the tools really are ‘self-serve’ and that they provide the flexibility and agility to give power users the ability to create and analyze, and business users with average technology skills the ability to quickly and easily understand the augmented analytics tools they now have access to, and to use those tools to the benefits of the team and the organization.

3 Ways Cross-Tab BI Can Improve Reporting!

By some estimates, a business will experience a three-month lag between the time a report is produced and the point at which the enterprise sees improvement or results from the changes the report recommends or predicts. If the reporting is unclear or unconvincing, the recommendations may never be implemented and the report will sit in a file on someone’s computer.

Prepare for Success with the Right BI Tools!

4 Things to Know to Prepare for BI Tools and Data Democratization!

The days of data silos and exclusive data access are over. Data Scientists and business analysts are still an important component of the business and IT teams are still crucial to the success and stability of the organization BUT if you are thinking that these roles are still responsible for day-to-day analytics and delivering every bit of data analysis to the enterprise, your business strategy needs an upgrade!

Leverage Key Performance Indicators to Achieve Results!

Key Performance Indicators and Performance Management are Crucial to Business Agility!

When a business takes on the task of going from an opinion-based, guessing game environment to a metrics-based, fact-based environment, it must decide WHAT to measure. Metrics are fine, but deciding what is important to measure is crucial. You can measure the wrong things and end up knowing nothing about what is happening in your enterprise, and which tasks and activities are contributing to your bottom line, as opposed to the tasks that are non-productive and business processes that should be modified.

Mobile BI Improves User Adoption and ROI!

Here’s How Mobile BI Encourages User Adoption and TCO!

Businesses that invest in business intelligence solutions expect to achieve results, become more competitive and improve productivity, but these businesses often fail to understand the need for Mobile BI. Mobile business intelligence should provide all the features and search capability a user needs to perform tasks and get information while on the road, working remotely or visiting a client, partner or regional office.

Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.