Founded in 1982 as a construction company, client has successfully positioned itself amongst the top 10 construction & infrastructure management companies in India. Client has to its credit many prestigious projects in the Industrial, Power, Institutional & Infrastructure sectors across India.
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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.
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.
Perhaps the best place to start this discussion is to define what Mobile BI 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.
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?
Gartner has predicted that, ‘90% the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives.’ If you wish to compete, your business will want to follow the lead of these top companies. By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.
‘The path to Citizen Data Scientist does not have to be fraught with uncertainty.’
If you are a team member in a business environment, your role within that business is unique. But, it doesn’t matter what your role is or what your responsibilities are, it doesn’t matter what tasks or activities you must perform, you need good, solid data to make effective, fact-based decisions. And, your decisions must be swift because business is moving at the speed of light! Add to this the fact that your responsibilities seem to grow in scope and depth every day, and you can see how crucial it is to have the right support and solutions to help you achieve your goals.
If you are considering a transition to Citizen Data Scientist, or your business management team has informed you of their intent to make that transition, you probably have a lot of questions about the process and the role.
Citizen Data Scientists are not business analysts or data scientists. They are business users and team members within the organization. The typical profile of an ideal Citizen Data Scientist is a person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science. In any case, these candidates will typically be uniquely curious, interested in data analytics and devoted to fact-based decisions and team collaboration. To fulfill the role of Citizen Data Scientists, business users will leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.
Business users can leverage domain and primary skills and expertise to gain insight into results using augmented analytics. Your team can interact with and collaborate with IT and data scientists to define business use cases and refine outcomes, and users are empowered to use analytical tools to hypothesize, prototype, forecast and predict, so the organization can identify issues, challenges and results prior to implementing changes in pricing, products, customer outreach, organizational structure, and all manner of operational decisions. The Citizen Data Scientist initiative will improve the accuracy of decisions, and allow users to share data and models with other users, thereby adding value to the organization. The enterprise can create and manage goals and objectives using measurable data and can improve time to market and make better decisions. The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.
‘The business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics.’
When a business makes the decision to implement a Citizen Data Scientist initiative, it must have a clear vision of the path to get business users to a new role, and to support those users with the augmented analytics tools and cultural changes required to encourage user adoption of analytics solutions and techniques. The path to Citizen Data Scientist does not have to be fraught with uncertainty. With the right cultural changes and management and technology support, the team can improve data literacy and encourage data democratization. Training is a key component of this success. But it needn’t be a lengthy, complex process.
An in-person or online training program that introduces the role and provides examples of Use Cases and Case Studies can help business users see how these tools might be used within the confines of their own role in the organization.
Explore the options her: One-Day In-Person Or Online Workshop For Citizen Data Scientists or Self-Paced eLearning Citizen Data Scientist sessions.
Find out more about the Citizen Data Scientist Path, Citizen Data Scientist Training and Augmented Analytics. We can help your business succeed and improve user adoption and data literacy.
Original Post : The What, Why and How of the Citizen Data Scientist Role!
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We all know the saying, ‘a picture is worth a thousand words.’ When it comes to business problems, opportunities and reporting, images and pictures can tell a story that dry data cannot match.
As your business moves toward metrics and measurable results and embraces analytics, it is likely to consider the implementation of augmented analytics across the enterprise.
‘The real beauty of Smart Data Visualization is that it is built within an Augmented Analytics environment that is designed for the average business user without advanced technical skills.’
Gartner predicted that, ‘augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.’ The decision to invest in augmented analytics and in data democratization means that your business users will need tools that are easy-to-use and provide sophisticated functionality. And, when it comes to the presentation of data, users will want new and improved ways to tell the story. Whether you are presenting in a staff meeting, sharing data and reports across teams or talking through a problem, smart data visualization is going to help you make a better decision, because it provides a clear picture of results and ensures that data is not misunderstood or misinterpreted.
In this article, we explore Smart Data Visualization and the concept of a ‘picture is worth a thousand words’ to discover how data visualization can make a real difference in your analytical environment and in supporting decisions.
Once a user has gathered the data they wish to analyze, Smart Data Visualization uses auto-suggestions and recommendations to help you choose the right way to visualize your data and produce reports based on data type, data volume the nature of the data, the patterns and the dimensions. Smart Data Visualization and Visual Analytics allows business users to analyze, share and present information without waiting for assistance from visualization experts or programmers. With augmented data discovery tools, business users can cut through that mountain of data to find those elusive nuggets of information that have the most impact on business results.
By combining cutting-edge technology and machine learning on the backend, with an intuitive user experience on the front end, business users can easily leverage sophisticated tools with suggestions and recommendations on how to personalize data displays to create meaningful views and collaboration. Machine learning provides guidance to determine the visualization technique that will be the best fit for the data business users want to analyze. It allows for better understanding of data, and identifies unusual patterns in data, and achieves the best output and results.
Visual Analytics tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources, with a guided approach that allows users to identify patterns and trends, and quickly complete analysis with clear results.
The real beauty of Smart Data Visualization is that it is built within an Augmented Analytics environment that is designed for the average business user without advanced technical skills. Users can leverage sophisticated features to get that one picture that will tell the story – all without involving IT or data scientists, so the day-to-day work of decision-making can go forward with confidence and accuracy.
‘Smart data visualization is going to help you make a better decision, because it provides a clear picture of results and ensures that data is not misunderstood or misinterpreted.’
Explore the advantages of Augmented Analytics Products And Services, and Smart Data Visualization. Let us help you implement a solution that will be suitable for your team members and your business results.
Original Post : Smart Data Visualization Tells the Story of Your Business!
Gartner has predicted that, ‘30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.’ What does this mean for business Citizen Data Scientist initiatives? It does NOT mean that the organization should turn away from this type of initiative. What it DOES mean is that a business should recognize the value and purpose of each aspect of its analytical community.
The research and technology consulting firm, Gartner predicts that ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Whether your software business produces solutions or modules for a vertical market, a specific industry or a government or public service market, building an analytical solution to serve your clients or partners is an expensive, complicated proposition and one that will require significant funding and skilled resources.
Tally® ERP is a popular finance and accounting solution used by many team members in many businesses. It provides modules to support inventory management, purchasing, sales professionals, accountants, finance managers and other expense and revenue related functions responsible for taxes, statutory reporting etc.
