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.
Year: 2022
3 Ways Integrated Tally Mobile Augmented Analytics Can Help Small and Medium Businesses!
As a Tally® ERP user, your business already knows the value of this solution. The Tally solution provides businesses with tools to manage all critical aspects of your business, including accounting, sales and purchase, inventory, manufacturing, taxation, payroll, MIS reporting, etc. As your enterprise grows, and markets become more competitive, it is important to add capabilities that will allow you to be more competitive and help you understand what is happening in your business, what processes, products and activities are helping you to achieve your goals and where you need to adapt.
By integrating augmented analytics into your Tally solution, your team members can leverage analytical tools in an easy-to-use, out-of-the-box environment to produce reports and share data that will offer insight into your business results and strategies.
‘…team members can be creative and innovative in their recommended solutions and, more importantly, can discover the reasons for success or shortfalls.’
By some estimates, the financial analytics market has the potential to reach nearly ten and half million US dollars by 2023. The growth of this market is evidence that businesses are embracing the need for analytics. But when it comes to small and medium sized businesses, the budget for data scientists, analysts and complex analytical solutions is slim to none.
In this article, we discuss three ways that integrated augmented analytics can add to the existing value of the Tally ERP solution and help business users achieve results and gain insight for decision-making and recommendations.
Clear, Concise Reporting Built for Business Users
While Tally ERP provides its own reporting capability, adding flexible analytics reports for sales and purchasing, banking and cash analytics, payables and receivables, inventory management, taxes, cost center and ledger analysis, account statements and drill-down capabilities allows the user to gather data and analyze it across modules and to discover the root cause of an issue, or identify a product, pricing, supplier or other opportunity to leverage in the market. Small and medium sized businesses are often short on resources and users have little time to learn new software or play with report formats to get what they want. By providing a set of built-in reports, business users can be more productive and get the information they need AND they can share that information.
Seamless Access in the Office and On the Road
Nearly every team member in a small or medium sized business has multiple roles and is often on the road or working remotely. Integrated augmented analytics that is accessible in near real-time via mobile or web access allows the user to make the best use of their time and to perform tasks and analyze data from anywhere.
Suitable for all Finance and Accounting Roles
Many best-of-breed solutions are designed to support a specific need within the organization. Accounting systems are designed for accounting professionals, inventory systems are typically designed as part of an ERP system and support the needs of inventory managers. Tally ERP has modules that are designed for sales, accounting, finance, inventory and other roles. By integrating augmented analytics within this environment, every professional (no matter their role) can use the solution in a way that is best suited for their needs. An additional advantage is the ability to perform simple queries across modules and data so a sales manager might spot a problem with an ad campaign scheduled to promote a product for which there is little inventory, or a purchasing manager might create a report to reveal where bulk orders for multiple business units might result in lower pricing. In truth, while every professional has a specific role, many responsibilities and tasks cross over from one department to another and, with the ability to perform searches and analytics that incorporate data from across the enterprise, team members can be creative and innovative in their recommended solutions and, more importantly, can discover the reasons for success or shortfalls.
‘By integrating augmented analytics into your Tally solution, your team members can leverage analytical tools in an easy-to-use, out-of-the-box environment.’
Find out how the addition of SmartenApps For Tally will support your accounting-related analytical initiative and bring your team and your business to the next level. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify.
Original Post : 3 Advantages of Tally Mobile Analytics for SMEs!
Hire Java Programmers and Complete the Project of Your Dreams!
With over 67,000 reported global websites, there is no doubt that Java is one of the most popular programming and development frameworks in the world. If your business is considering a development project, Java may be the choice for you. In this article, we outline some of the advantages of Java and its dependable structure and support community and provide examples of global geographic and industry usage.
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.
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 Citizen Data Scientist Role and Benefits and How to Get Started!
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.
What is a Citizen Data Scientist?
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.
Why is it important to implement a Citizen Data Scientist Program?
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!
Android Mobile App Development Serves a Global Market and Ensures Your Success!
According to BusinessOfApps, Android is the most popular operating system in the world, with over 2.5 billion active users spanning over 190 countries. Smart Phone and mobile device manufacturers using the Android platform include Samsung, Motorola, LG, Huawei, Vivo, Oppo and Xlaomi.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.
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.
What is Smart Data Visualization?
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.
How Does Smart Data Visualization Work?
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.
What Can My Business Do with Smart Data Visualization?
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!
There has been a lot of press about the concept of Data Democratization and the resulting improvement in data literacy across the enterprise and yet, many businesses still see this democratization effort as restricted to middle managers or to the use of analytics within the four walls of the headquarters or regional offices of the enterprise.
But, as with any other discussion of ‘democracy’, there is no true benefit to this concept unless data is truly democratized across the business landscape. The real focus on data democratization is meant to reach the front line workers so that every team member has access to simple, easy-to-use analytics and can use data in a way that is meaningful to their job. It isn’t enough to ask a team member to use data in reports. If the business user and team member does not see or feel the value in their everyday tasks, the business has failed at data democratization.
If you are willing to acknowledge that the real operational decisions are – and must be – made on the front lines, then it is wise to give your team the tools they need to make those decisions in a more efficient, effective manner.
The first step is making the data available to every user. That means planning for and rolling out analytics across the board, typically by starting with one business unit or area and then rolling the initiative out from there until the entire enterprise has access to appropriate, timely, integrated data for use in analytics and decision-making.
If you are managing a financial institution, that would mean giving access to these tools to your loan officers and your customer service representatives. If you are in sales, your sales reps need to be able to see data and metrics for products, conversion of prospects to customers, returning customers, bundled product and sales initiatives, upcoming discounts and promotions, and more. If you are working in manufacturing, your production line employees need to see and anticipate scheduled maintenance and identify issues with equipment performance, downtime, etc.
Give your line workers, customer-facing representatives and team members access to augmented analytics that are easy to use and will not frustrate them as they attempt to solve problems and identify opportunities to improve or create new ideas to improve results. Predictive analytics can help users define the risk inherent in approving a loan for a particular client or it can help sales reps to establish a reasonable target and not overestimate sales for a particular season or location.
The team members on the front lines are the ones that have to make the tough decisions and, while they have targets and goals and marching orders, the use of analytics to make day-to-day decisions will help everyone by establishing a baseline and measuring whether certain tasks or activities are supporting those goals. It will also help your team by making them more accountable and empowering them with the tools they need to make a confident decision. There is no time for guesswork or opinion in today’s competitive, rapid paced environment.
If you are willing to acknowledge that the real operational decisions are – and must be – made on the front lines, then it is wise to give your team the tools they need to make those decisions in a more efficient, effective manner.
Giving a Sales Manager an analytical tool allows them to monitor and measure performance by location, region, sales representative, product, and other factors. Giving a Sales Representative an analytical tool allows them to make a difference, to see what is working in real time and to share, collaborate and make decisions that will truly affect the bottom line. It isn’t enough to report on the history. Give them the right tools and democratize your data for front line workers and you will help them MAKE history.
Consider the logic of a store manager keeping the key to the stock room on a key chain. If workers have to find the store manager every time they need something out of the stock room, there is a loss of productivity and empowerment. If a stock room has a lock that is opened by swiping an employee ID card, the employee gets what they need, the customer is served and the business has the data it needs to govern and manage its stock safely.
Data is a tool. Data is a part of your product and service offering. That data should drive your decisions on pricing, changes in workflow and activities, planning and forecasting and resource and equipment management. When you put data analytical tools in the hands of your front line workers, you improve the agility, flexibility and performance of your business.
Original Post : Data Democratization On the Business Front Line!
Considering a Digital Transformation Initiative? PLAN, PLAN, PLAN!
If your business is planning a Digital Transformation (Dx) project, you probably know by now that these initiatives take planning and commitment from all levels within the organization.
