Understanding the Truth About Mobile BI!

Considering a Mobile BI App? Understand the WHAT of Mobile Augmented Analytics Before You Choose!

If your business is considering a Business Intelligence or BI tool or an augmented analytics tool for its business users, the addition of this type of tool can and will improve user adoption of analytics, data democratization and data literacy. As you consider your requirements, your user and technology needs and other factors, do not forget to add mobile BI tools and augmented analytics to your list of requirements. A BI Mobile App will further improve user adoption and fact-based decisions.

By some estimates the Mobile Business Intelligence Market is expected to achieve a Compound Annual Growth Rate (CAGR) of 22.43%

‘If a vendor or solution provides only SOME of the features and functionality business users require, the solution cannot truly be considered a Mobile BI app.’

In this article, we define Mobile BI and the concept of a Mobile Augmented Analytics App, so that your business can achieve a more complete picture of these tools.

What is True Mobile BI?

Perhaps the best place to start this discussion is to define what Mobile BI is NOT.

What Mobile BI and Mobile Analytics is NOT

A true Mobile BI and Augmented Analytics App should not be restrictive. Limited views and access will only frustrate users.

Real Mobile BI is not just a series of static reports or limited access to data that would otherwise be available from within the walls of the enterprise.

What IS Mobile BI and Augmented Analytics?

Mobile Augmented Analytics is based on a comprehensive advanced analytics solution with sophisticated features, analytical algorithms and functionality designed for business users with average technical skills.

Mobile BI is designed to extend the augmented analytics environment beyond the walls of the enterprise and support remote work, team members who travel and those who wish to work while on the road.

A Mobile BI and Augmented Analytics App accommodates both Android and iOS devices so that users can access features, reporting, data sharing etc., on the device of their choice.

Mobile BI for Business Users is easy to implement and license and does not require extensive training.

Mobile Augmented Analytics provides a functional environment for analytics, extending the features the user leverages within the office on a desktop so that the user can analyze data with full access into datasets, dashboards and reports.

Mobile BI apps must present data appropriately, no matter the size of the screen or the resolution. Navigation must be easy and intuitive.

If a vendor or solution provides only SOME of the features and functionality business users require, the solution cannot truly be considered a Mobile BI app. Implementing data democracy initiatives to support the transition from business user to Citizen Data Scientist requires tools that can be used in a real work environment and that must include true mobile access to a comprehensive set of features.

Remember, your team members are also consumers who are used to access to all their favorite apps no matter where they are, and no matter which type of device they choose to use.

‘A BI Mobile App will further improve user adoption and fact-based decisions.’

Explore Smarten Mobile Augmented Analytics And Mobile BI and add powerful functionality and access for your business users with out-of-the-box Mobile BI and advanced analytics for every team member in your enterprise. For more information on Mobile BI and Augmented Analytics, read our articles, ‘The Importance of Adding a Mobile BI App to an Augmented Analytics Strategy’, and ‘What Should My Business Consider When Selecting a Mobile BI Solution?

Original Post : What is True Mobile BI?

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

This article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

Techniques to Ensure Successful Augmented Analytics Implementation!

If your business is ready to implement a BI tool and augmented analytics solution, there are some things you will need to do first. If you plan correctly, you will enjoy a successful implementation. If you do not perform an assessment, understand your requirements and choose the right option, you are likely to fail in your initiative and your ROI and TCO will not meet expectations.

SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics!

Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.

Self-Serve Data Preparation Improves Results!

Include Self-Serve Data Preparation in Your Augmented Analytics Solution!

Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.

Natural Language Processing (NLP): The Value of Context-Driven Searches!

Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.

How Can I Improve Business Intelligence and Augmented Analytics ROI and TCO?

Business managers, owners and senior executives really want to do the right thing! The goal is always to improve the business, to hire the best staff and to satisfy customers and partners. To do that, the business must build a foundation of business processes, policies, technology and software that will support goals and objectives and make it easier, more timely and more efficient to perform tasks and complete activities.

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.

How Can I Encourage My Team to Adopt and Use BI Tools and Augmented Analytics?

Wise business owners and managers are taking on the challenge of implementing data democracy, digital transformation (Dx), and Citizen Data Scientist initiatives. The reason is simple! These businesses understand the benefits and the advantages of providing augmented analytics access to business users, thereby improving fact-based, timely decisions and improving the planning and forecasting process. These initiatives also optimize resources and allow the business to do more with less – which is something every business needs!