Tag: Mobile BI

Data Democratization is Important. So Are the Right BI Tools!

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March 16, 2023

Select the Right BI Tools and Succeed with Data Democratization!

Do you know what Data Democratization is? It’s simple, really. Data Democratization is the purposeful approach to cascading and integrating data into the daily workflow of business users to provide access to crucial information and the tools to analyze and understand that data and use it to make confident decisions. Instead of holding data in silos that are only accessible to IT, business analysts, data scientists and management, the enterprise recognizes the value of providing team members with the right information to do their job and contribute to the bottom line.

‘To succeed in data democratization, you need BI tools that provide data analytics access for all business users.’

Gartner predicts that, ‘75% of organizations will…deploy…multiple data hubs to drive mission-critical data and analytics sharing and governance.’ The key here is the ‘analytics sharing’ piece of the statement!

In order to fulfill the promise of this approach, your enterprise must employ business intelligence solutions that are easy-to-use and designed for business users, without advanced technical skills or advanced analytical skills. These tools allow your team members to engage in analytics and enjoy data democratization without the frustration of leveraging solutions designed for data scientists or IT staff.

Data Democratization Can Succeed with the Right BI Tools

Here are a few considerations to give you an idea of the kinds of things you will need to support your data democratization initiative. These factors are crucial to success, as they ensure that your users can and will adopt the BI tools you select to enjoy the new data access you have given them. Without these, you run the risk of spending the time and money to provide access and achieving poor return on investment (ROI) because of poor user adoption.

Embedded BI – By embedding business intelligence into the enterprise apps your users love, you can encourage data democratization and analytics in a single sign-on environment. Users do not have to sign in to multiple systems or move data around. They can start with the data within the ERP, HR, Finance or other system and perform analysis from within that system. Make it as easy as you can, and users will be happy!

Mobile BI – Don’t make your users sit at their desk in an office to use the BI tools. Make these tools accessible from the office and on the road, at home and in a client location or hotel. If you want your users to see the value in data democratization and you want to achieve your goals for this initiative, you must give your users the tools they need WHEN THEY NEED those tools.

Business Intelligence with Seamless User Access and Security – Data democratization does NOT mean throwing caution to the wind. Data must still be secured and accessible to users for the things they need to see, but not for the things they are not eligible to see and not in an environment where data security and privacy are at risk. To democratize your data, you must also ensure data governance, security and access standards and requirements are met.

Natural Language Processing – Make the augmented analytics and BI tools intuitive. Democratized data is no good if the users need an advanced degree to access the data. Natural Language Processing (NLP) allows your users to access data in a familiar way, with a Google-type search interface where they can ask questions using regular language and receive answers in a way that is easy to understand. If they can search, query and find information easily, they are more likely to a) use the system and b) understand the information they produce and make the right decisions.

Tools Designed Specifically for Business Users – The solution you select should be designed for business users, not for data scientists, business analysts, IT or statisticians. While you want the data democratization initiative to expand the skills and knowledge of your team, you do not want them to need advanced skills or training. Select a system that can be adopted and used within minutes – not months. Users want sophisticated functionality in an easy-to-use environment. That is important!

‘If you want your data democratization initiative to succeed, select tools that allow your team members to engage in analytics without the frustration of leveraging solutions designed for data scientists or IT staff.’

There are other considerations but, if you address the ones we have highlighted in this article, you will be well on your way to achieving your data democratization goals and ensuring that your users adopt the solution you select.

BI Tools should provide data analytics access for all business users. Simple, Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals. Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Data Democratization Can Succeed with the Right BI Tools!

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

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January 20, 2023

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.

Continue reading “Use a BI Tool with Cross-Tab Deep Dive Features!”

Is Mobile BI Crucial for Business Success?

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December 15, 2022

The Mobile BI Market is Growing! Make Sure You Select the Right Solution

In today’s mobile society, no enterprise can afford to overlook the importance of mobile access for business applications. Your team may be working remotely, or out of the office meeting with clients or a sales team. Whatever the case, mobile access to apps is crucial to productivity and collaboration. Business Intelligence solutions are no exception!

‘If the mobile BI solution is not flexible and seamless so that it operates on all devices; if it does not provide all features and functionality in a mobile environment, business users will be frustrated.’

According to recent research, the global mobile analytics market is projected to reach $28 million USD within the next decade. The reasons for that growth include an expanded interest in data democratization and the use of analytics among team members throughout the business organization, as well as a need for mobile access to optimize resources and ensure productivity.

The choice of solution is key to success and any mobile BI solution the business considers must support both Android and iOS, and operate in a ‘design once, use anywhere’ approach that accommodates desktops, tablets, and smart phones with an intelligent, adaptive user interface (UI) that supports any screen resolution and any size screen with seamless navigation and performance.

Mobile BI Ensures Access to Critical Data for Business Users

Anytime, Anywhere – Team members are more tech savvy today and they will not accept or adopt solutions that are restrictive or cumbersome. A mobile business intelligence solution must provide support for a fast-paced work environment and support users in the office and on the road.

Designed to Support Growth and Change – The mobile BI solution must support growth and be flexible to expand user volume, multiple locations and changes in business processes, reporting needs, etc.

Integrated Data Access – The mobile BI solution must be easy to use and operate out-of-the-box without customization to enable access to data for analytics, working across disparate data sources to serve seamless, clear information on mobile devices.

Comprehensive Features – Features should include the ability to personalize dashboards, report features including graphs and charts and key performance indicators (KPIs). Solutions that restrict access to all features on mobile devices will not serve your business users well.

‘The choice of a mobile BI solution is key to success. It must support both Android and iOS, and operate in a ‘design once, use anywhere’ approach that accommodates desktops, tablets, and smart phones with an intelligent, adaptive user interface (UI).’

It is important to understand that simply having mobile access is not enough. If the mobile BI solution is not flexible and seamless so that it operates on all devices; if it does not provide all features and functionality in a mobile environment, business users will be frustrated and are not likely to adopt and use the solution on a daily basis which will negatively impact return on investment (ROI).

Mobile BI and Business Intelligence solutions should include tools and techniques that make it easier to achieve data literacy and provide data analytics access to all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Embedded BI, etc.  Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Mobile BI Ensures Access to Critical Data for Business Users!

Why Not Embrace the Advantages of Self-Serve BI Tools?

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November 2, 2022

Don’t Be Daunted by the Challenges of BI Tools. Self-Serve BI is the Answer!

Gartner research reveals that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities. But how do your team members achieve these goals when they are busier than ever, and the changes are coming more rapidly than ever!

‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’

In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering.

Let’s Discuss: Benefits and Challenges of Self-Serve BI

First, let’s look at some of the challenges you will need to consider when implementing self-serve BI tools:

Challenges of Self-Serve BI

  • Technology Access and Infrastructure Readiness – Your IT, finance and management teams will need a comprehensive understanding of your current technology and infrastructure, the data hubs, data warehouses and software solutions (legacy, best-of-breed, ERP, etc.) that will provide the foundational data for your users. You will need a plan and a roadmap to integrate these into your business intelligence strategy. A modern, seamless BI solution can provide a simple solution for what might otherwise be a challenging situation. If you can easily integrate your data sources and make them available for data gathering and analytics, your users can leverage the data to report, share and collaborate.
  • Team Member Adoption and Understanding – Your team will also need an understanding of the average technology skills of your business users and their willingness to adopt new tools and solutions. If your team members perceive that your BI tools are difficult to use, or if they are not educated on the need for and the benefits of self-serve business intelligence, they are unlikely to adopt the new tools. If, on the other hand, they see the value to their role and how it can make them more productive and streamline their work process; if they see that the solution is easy and intuitive to use, your business is less likely to face the challenges of team reluctance.

There are many other challenges and considerations that should inform your BI tools strategy, but these two are perhaps the most important.

Now, let’s consider some of the many benefits of self-serve business intelligence and how it can support your goals and simplify the lives of your business users:

Benefits of Self-Serve BI

  • Social BI – Social BI allows users to champion the use of business intelligence. Power users and those who are curious by nature will create reports, share and collaborate, using easy-to-use tools and thereby encourage others to use the tools and to repurpose report formats etc. to achieve their own goals. Social BI allows business users to share, ‘like’ and perform tasks in a way that is similar to social networking and is therefore popular among business users.
  • Mobile BI – Today’s team members often work remotely, or spend a lot of time on the road. By providing self-serve business intelligence that is intuitive to use and accessible on Android and iOS devices, the business can ensure that users will have seamless access and can accomplish tasks, search for information, share and collaborate, without missing a beat!
  • Data Democratization and Data Literacy – If you want your team members to grow and add more value, you want to encourage data literacy and ensure data democratization. Move away from restricted data access and sole ownership of analytics by data scientists, IT and business analysts. Provide easy-to-use tools that allow for simple search analytics in a Google-type environment and will make it easier for reluctant business users to embrace your new BI solution and develop new data analytics skills they can use for fact-based decisions.
  • User Adoption – There is nothing more frustrating than spending the time and money to implement a new solution, only to find that your users are resistant to using that solution. With true self-serve BI tools and intuitive data visualization, reporting, analytics and access, users will want to adopt the tools and share their discoveries with other team members.
  • Embedded BI – If you want to leverage existing technology, improve your Return on Investment (ROI) and Total Cost of Ownership (TCO) for your current solutions and infrastructure, consider that self-serve BI tools can be embedded into existing solutions. With embedded BI with Integration APIs, users can leverage familiar, favorite software solutions in a single sign-on environment, and find information within those solutions without having to learn complicated new techniques or fighting with data silos and transferring data from one place to another.

There are many other advantages to Self-Serve Business Intelligence. This short list should give you some ideas of how you can leverage these tools in your own business landscape.

‘As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities.’

Business Intelligence solutions should include tools and techniques that make it easier to achieve data literacy and provide data analytics access to all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.  Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Let’s Discuss: Benefits and Challenges of Self-Serve BI!

What to Know to Choose the Right Mobile BI Solution!

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September 23, 2022

What Should My Business Consider When Selecting a Mobile BI Solution?

As a business considers the implementation of a BI Tool and access to augmented analytics for its business users, it must define its requirements carefully in order to satisfy its corporate goals and its user needs. In today’s on-the-go work environment, mobile BI and the concept of an augmented analytics app are necessary components of the analytics strategy.

‘Ensure that the Mobile BI solution does not require expensive, extensive customization of dashboards or of the app in order to satisfy your business and user requirements.’

Gartner predicts that, ‘data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’

If the business wishes to encourage data literacy and increase business value, it must carefully select its analytical tools and solutions. In this article, we provide a short list of factors your business should consider when selecting a business intelligence and augmented analytics tool with mobile capabilities.

What You Need to Know Before You Select a Mobile BI Solution

Support for Devices

Be sure your solution provides mobile support for iOS and Android, with a seamless user experience that accommodates all screen sizes and resolutions.

Out-of-the Box Functionality

Ensure that the Mobile BI solution does not require expensive, extensive customization of dashboards or of the app in order to satisfy your business and user requirements. Features and functionality should be out-of-the-box so you can get started right away.

Access to Crucial Features

Some mobile analytics solutions provide restrictive access and provide read-only limitations, or only display pieces of the information from the data sources. Be sure your Mobile BI App provides intuitive dashboards, graphs, key performance indicators (KPIs), PDF reports and natural language processing (NLP) searching all within the mobile app. Users should be able to login, browse and search objects and perform interactive analytics, with access to ‘favorites’ and recently used objects.

Integration with File Formats

Your Augmented Analytics App should allow users to access objects via PDF and XLS and share data via WhatsApp, email or other sharing apps on their device.

Appropriate Security and Access

The Mobile BI solution should provide access rights and security, defined on a server to ensure security and privacy and access at the correct level, given the user credentials.

Mobile Hosting

Your Augmented Analytics App should be flexible and agile enough to host from anywhere within the IT infrastructure – on premises, or via public or private cloud.

Licensing

Be sure the augmented analytics provider is not charging expensive add-ons for the mobile app. If you currently have a license for augmented analytics, the mobile BI app should be an easy add-on, without expensive fees, and should be easy to download and implement and easy for users to adopt and use right away.

‘In today’s on-the-go work environment, mobile BI and the concept of an augmented analytics app are necessary components of the analytics strategy.’

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, ‘Considering A Mobile BI App? Understand The WHAT Of Mobile Augmented Analytics Before You Choose’, and ‘The Importance Of Adding A Mobile BI App To An Augmented Analytics Strategy.’

Original Post : What to Know to Choose the Right Mobile BI Solution!

Context-Driven Natural Language Processing (NLP) Beats ‘Dumb’ NLP Every Time!

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August 24, 2022

If you are an avid reader of technical research or industry journals, you probably know about Natural Language Processing or NLP. If you don’t know about it, you certainly use it every day – whether you know it or not! When you search using Google, you are using natural language and that makes it easier for you to develop a question and get an answer. Ask a question and get an answer. It’s that simple!

But, when it comes to analytics, NLP is typically much more restrictive. Talk all you want about machine learning and natural language processing but the boundaries and restrictions placed on these concepts in a typical analytical solution do not make it as easy as business users might like.

Remember that your business team members are also consumers outside the walls of the office and they use and appreciate the ease of Google searches. Here, a consumer might ask, ‘how many ounces in a pound’, or ‘what is the tallest building in the world’, and they get an immediate answer. THAT is what they want in analytics as well and if you don’t give it to them, they are unlikely to adopt the analytical tools you invested in or to achieve the results you wanted for optimizing resources, improving productivity and, most importantly, engaging in fact-based decision making that will improve the business bottom line.

So, what, if anything can one do about the disconnect between the ease of use of analytics and the typical NLP solution? To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP).

Context-Driven Natural Language Processing (NLP) Beats ‘Dumb’ NLP Every Time

Context-driven natural language processing allows people to think and communicate like people – not like machines! It is intuitive and ‘smart’ and goes far beyond ‘dumb’ NLP.

Dumb NLP: The use of NLP in analytics provides the basic foundation to get a user into the details of the data and allow them to choose and filter using columns and filters. It recognizes the data in the column or field but not the context. Much like a text to speech solution, it can read, translate and present the data but it has no real understanding of what the data means. Users often get frustrated when they try to use these tools because they have to wade through the choice of columns, click on menus and sift through scripts and when the NLP query results are presented, they may discover that they did not get what they wanted because they omitted or included some inappropriate data.

Intuitive NLP: Context-driven natural language processing allows the user to think of a question and ask that question in a way that supports human thought, and natural communication. Context-driven NLP ‘understands’ and interprets the question and the user intention so, for example, if a user wants to find sales results for a product sold during the ‘Thanksgiving’ season, they do not have to know the date for a particular year or years. They can simply ask the question. ‘How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? The system will understand the question and interpret it to provide the right information.

Much like your best friend can understand your intent and respond to a question without your being concise or detailed, context-driven NLP can handle the subtleties and the context without the need for excruciating detail and restrictive programming or scripting.

Ask, ‘What was the best day of bakery sales in Tucson Az last year?’, and the system will know that, a) the ‘best day’ means best day of sales for you, that b) bakery sales means all items that fall within the bakery category in your product portfolio, such as cake, brownies, croissants, cookies, bread etc., c) that Az means Arizona and that d) last year was 2019. Just ask the question…and you will get an answer. It’s that simple.

Context-driven, intuitive NLP provides many opportunities to ask questions and handles many concepts, including,

Synonyms, Phonetics and Abbreviations – Enter question and the system will recognize and process information correcting for spelling errors, abbreviations and related words.

Geography, Places and Persons – Enter a question and allow the system to identify a person or place automatically, and give the answer in context of person or geo location.

Time Series – Enter a question and receive results based on absolute time, or on a range or relative time period.

Rank and Polarity – Enter a question and receive results based on a determination of ‘higher’ or ‘lower’ results.

Aggregation – Enter a question to understand results for averages, minimum, maximum, first, last, sum, counts, etc.

Comparison – Explore how sales or other factors compare from one region, year or variable to another.

Context-driven natural language processing allows people to think and communicate like people – not like machines! It is intuitive and ‘smart’ and goes far beyond ‘dumb’ NLP by offering tools that users will want to leverage and interacting with users in a way that is meaningful to them. Your business users don’t need have to use or understand sophisticated skills to create a query or ask a question. They don’t have to wade through five or ten steps to create a query. With context-driven NLP, users just have to think of a question and type that question and they will get the answers they need.

Make your business more productive, optimize resources, empower your team members and allow them to make confident, fact-based decisions and to solve problems and get the information they need to do their job – without stress or time-consuming training or procedures! THAT is the difference between using ‘dumb’ NLP and using intuitive (context-driven) NLP in analytics.

Original Post : Context-Driven Natural Language Processing (NLP) Beats ‘Dumb’ NLP Every Time!

Improve Analytics User Adoption with Mobile BI App!

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August 23, 2022

The Importance of Adding a Mobile BI App to an Augmented Analytics Strategy!

Many businesses are considering, or have implemented, business intelligence and augmented analytics solutions. According to renowned technology research firm, Gartner, ‘80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’ With this prediction in mind, the addition of business intelligence and augmented analytics to the organization workflow, business processes and technology infrastructure is a wise decision.

‘The addition of mobile capability will improve user adoption, support culture changes and extend the office environment for a more productive business and team foundation.’

In order to address the ‘modern approach’ Gartner describes, the business must include a mobile BI and augmented analytics app strategy. In this article, we discuss the importance of including a Mobile BI App in the organizational approach to business intelligence and advanced analytics.

Mobile BI and Augmented Analytics App Improves Productivity

Changing the Culture and Business Processes

With any data literacy and data democratization effort, the business MUST look at culture change. If it intends to encourage business users to transform to Citizen Data Scientist, it must look at all aspects of its culture, business processes and workflow, and to integrate data sources and make that information available at appropriate levels so that users can access and analyze data and IT and senior management can be assured of appropriate data governance. When the business implements a business intelligence and/or augmented analytics solution, it must consider the importance of adding the capabilities of a Mobile BI App so that users can access data from anywhere. By providing mobile augmented analytics, the business can enforce and enable the culture change and modernize its approach to data access and data sharing. Providing restrictive business intelligence or analytics solutions without mobile capability will further inhibit user adoption and act as a barrier to the culture change within teams.

Extending the Office Environment

Over the past decade, businesses have changed drastically and one of the greatest changes is the concept of a ‘team’ or ‘group’ working on a project, or toward a goal. In recent years, the idea of remote workers has grown exponentially, and teams spread across the country (or across countries) and geographic locations are now using software and technology to collaborate and share data. Users want to access data on the road, in a hotel room, while working at a client office or in an airport, and when it comes to analytics, that need is just as great. It is important to provide a solution that accommodates all types of devices from desktops and tablets to iOS and Android devices, so that the user can access data and analytics from anywhere on any device.

Improving User Adoption

When senior management teams announce a new initiative like the adoption of analytics, it is easy for team members to discount the commitment and to believe the new ‘flavor of the month’ will simply disappear and they will go back to the old way of doing things. The culture change we discussed in this article is a necessary component and the availability of the tools, and easy-to-use solutions that require little training is crucial. A mobile BI and augmented analytics app meets the expectations of users for intuitive tools – tools that are accessible as and when they need them, and with simple, powerful reporting and collaborative tools, the users will be encouraged and enabled and user adoption will improve.

There are many other important aspects of mobile BI and augmented analytics. Here, we have provided a few of the crucial considerations a business must include when it reviews its requirements and builds a strategy to implement business intelligence and analytics for business users. The addition of mobile capability will improve user adoption, support culture changes and extend the office environment for a more productive business and team foundation.

‘In order to take a ‘modern approach to BI and analytics, the business must include a mobile BI and augmented analytics app strategy.’

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, ‘Considering a Mobile BI App? Understand the WHAT of Mobile Augmented Analytics Before You Choose’, and ‘What Should My Business Consider When Selecting a Mobile BI Solution?’

Original Post : Improve Analytics User Adoption with Mobile BI App!

Smarten Augmented Analytics Now Available on Mobile App!

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July 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. This native app has a seamless user interface for a great user experience (UX). Smarten Mobile app is available for iOS and Android. Installation is easy.

Continue reading “Smarten Augmented Analytics Now Available on Mobile App!”

Understanding the Truth About Mobile BI!

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July 20, 2022

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?

The Right Mobile BI App Can Produce Results!

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July 6, 2022

Your Enterprise Can Leverage Mobile BI to Achieve User Adoption and Enterprise Results!

Gartner has predicted that ‘augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ Perhaps one of the most important aspects of user adoption is to provide the business intelligence tools at the place and time the user needs them. That means that a solution considered by the organization must be one that supports mobile devices.

‘The organization should look for a ‘design once, use anywhere’ approach that allows for maximum flexibility.’

In this article, we discuss how the organization can assess and choose the right Mobile BI solution to ensure optimal results and user adoption.

Choose the Right Mobile BI App and Get Results

Convenient Access for Users

The augmented analytics, business intelligence solution that offers out-of-the-box mobile access for all types of mobile devices, tablets and desktops allows users to perform analytics, collaborate and report on the road, in the office, in hotels – in short, anywhere. With mobile BI support, the enterprise can provide a self-serve BI tool that encourages user adoption and supports data democratization and analytics for all team members without expensive customization or restrictive dashboards or reports. The Mobile BI solution that supports all devices and screen sizes allows users to access analytics using any device they leverage for work-related activities.

Dependable Performance to Support Technology Infrastructure and Future Needs

The enterprise must assess its business intelligence needs and plan for the future but not every evolutionary path is predictable. So, a Mobile BI tool that supports current and future data and user volume is an imperative. The organization should look for a ‘design once, use anywhere’ approach that allows for maximum flexibility. As devices change and evolve and users, locations and data changes, the organization can meet its needs without additional licensing or developmental costs.

Integrated Mobile BI Tools

If the augmented analytics solution and BI tools are comprised of comprehensive features to allow for easy-to-use dashboards, reporting, and graphs, charts and key performance indicators (KPIs), those features must be designed to seamlessly display and function on any type of device, any screen and any resolution, so users are not frustrated and access is simple and intuitive.

‘Perhaps one of the most important aspects of user adoption is to provide the business intelligence tools at the place and time the user needs them.’

Find out how Mobile BI And Augmented Analytics can support data democratization and improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Choose the Right Mobile BI App and Get Results!