Augmented Analytics with Auto Insights Support Business Users!

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too!

Gartner classifies essential augmented analytical components and technologies as follows:

  • Machine learning
  • Natural Language generation and natural language processing
  • Automation

‘Combine the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined auto insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.’

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

One such feature that users will look to for quick results and clear, concise decision support is the concept of auto insights.

Auto Insights Adds Clarity and Ease-of-Use to Augmented Analytics

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Using this approach, business users will no longer have to select data columns or analysis techniques such as classification or clustering. Instead, the user will simply select the dataset to be analyzed. That’s it!. The system interprets the dataset, selects important columns of data, analyzes type and variety and other parameters and then uses intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights.

Users can easily understand data and apply correlation, classification, regression, or forecasting, or other appropriate technique(s) based on the data the user wishes to analyze. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

By combining the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.

This approach provides support for sophisticated, advanced analytics and smart data visualization to automate the analysis process, so business users can simply point to a dataset and let the system do the rest.

‘The combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.’

Find out how Smarten Auto Insights can help your team and your organization. Leverage the essential components of Augmented Analytics, as defined by Gartner, and provide seamless, easy-to-use, sophisticated features and functionality to support your business users and transition your team members to Citizen Data Scientists.

Give Your Business Users Mobile BI to Ensure Success!

Why Should My Enterprise Provide Mobile Business Intelligence (BI) Tools to Business Users?

Many businesses are beginning to see and leverage the value of business intelligence and augmented analytics within the organization to engender data democratization, improve data literacy and collaboration and improve results. In a competitive global and local business environment, this move toward analytics for all is a positive thing.

If your business is considering BI tools or augmented analytics, or if you have already implemented these tools within the enterprise, there is one more question to answer.

Does your organization provide Mobile BI to its business users? If it does not, you are missing out on a crucial opportunity and a critical business advantage.

‘Mobile augmented analytics can benefit your business users and help to transform them into Citizen Data Scientists.’

When considering a Mobile BI app, it is important to verify ease of access and availability of data on the road and anywhere your team may be working, and to ensure that your team has tools that are easy-to-use and will enable user adoption.

Can My Business Users Benefit from Mobile BI?

If you select the right mobile business intelligence (BI) app, you can enjoy the following benefits:

  • A native app, with seamless user interface for a great user experience (Ux). Available for iOS and Android
  • Extends the office environment. Allows swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server so security and privacy is ensured at all levels
  • Supported by a server that is hosted anywhere within IT infrastructure –on premises, public or private cloud
  • Business Users will have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available

The right Mobile BI App should include the following components and features:

  • Provide access to Dashboards, Graphs, KPIs, PDF reports, and Clickless Analytics – NLP Search – all from within the mobile app.
  • Users login with an enterprise login, browse and search objects, and access objects for interactive analysis with access to ‘my favorites’ for quick navigation, i.e., objects marked as favorites, and recently used objects.
  • Download Smarten objects via PDF, XLS, and other file formats and share via WhatsApp, email or other sharing app loaded on their device.
  • Natural Language Processing (NLP) search, where users can query a dataset with a Google-type interface where a user can compose a question using natural English language and receive answers using visualization that provides the best-fit for the user inquiry. With natural language-processing-based search capability, users do not need to scroll through menus and navigation. Enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.
  • No requirement to redesign or customize dashboards and reports to accommodate a mobile device. Dashboards and Reports are displayed and optimized for the best user experience on the mobile device.
  • Licensing fees are affordable and implementation is easy and fast.

‘When considering a Mobile BI app, it is important to verify ease of access and availability of data on the road and anywhere your team may be working, and to ensure that your team has tools that are easy-to-use and will enable user adoption.’

Find out how Mobile BI and mobile augmented analytics can benefit your business users and help to transform them into Citizen Data Scientists, and how it can provide an advantage to your data scientists, business analysts and IT team members.

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

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!

Smarten Augmented Analytics Now Available on Mobile App!

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.

Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. CERT-IN, or the Indian Computer Emergency Response Team, is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. CERT-IN certification is provided by a CERT Empaneled Security Auditor following a detailed security audit to review all components of the organization network including websites, systems, applications, etc. After completion of the testing procedure, the certificate is provided to show that all requirements were met.

Include Clickless Analytics in Your Data Democratization Project!

How Can Clickless Analytics Help My Business Succeed in Data Democratization?

Gartner predicts that ‘… augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ One of the primary reasons that augmented analytics is not adopted and leveraged to its full capacity is that the business chooses a solution that is not easy enough for team members to adopt – one that is restrictive, inaccessible or requires sophisticated skills.

Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. Sentiment Analysis enables businesses with easy-to-use tools that provide insight into what customers, stakeholders and others are thinking, thereby allowing business teams to improve products and services.

How Can NLP Help My Business Implement Self-Serve Analytics?

What is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?

What is Natural Language Processing (NLP)?

Natural Language Processing utilizes artificial intelligence to translate computer code and language into real world, human language. While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. When a business is considering an augmented analytics solution that leverages natural language processing, it need not concern itself with the complicated underpinning of code and design, but should rather consider what NLP can do for its users and for its business results.

Why Would I Want to be a Citizen Data Scientist?

What Does Becoming a Citizen Data Scientist Get Me?

When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.