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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Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Establishing the strategy is one thing, but getting business users to adopt an analytics and information-based business workflow is quite another.
‘Modern business intelligence tools that are designed with self-serve features makes it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate.’
When it comes to teams, there are two things that are always true: 1) they learn a process and workflow and rarely want to change that familiar process and 2) they are always suspicious of ‘new’ initiatives and nearly always believe that these new initiatives will result in more work for them. There is a reason your team resists new processes and initiatives and that reason is simple. Usually, their fears are warranted!
So, if you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.
In this article, we focus on two of the primary components of a new business user analytics initiative.
Modern business intelligence tools that are designed with self-serve features like smart data visualization, self-serve data preparation and assisted predictive modeling make it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate. By adding value to the user’s everyday tasks and reducing the rework and issues they will confront, you can encourage your users to adopt analytics initiatives.
Those self-serve tools should include reporting and graphical tools that are clear and concise. Business users don’t want tools that produce complex reports filled with columns and mind-numbing numbers that do not help them reach a decision or illustrate an issue. Cross-tab analytics have been around for some time but the new, improved versions of this capability provides real insight into data in a way that is clear for every user. Sophisticated functionality is underpinned with easy-to-use tools so users can analyze the relationship between or among two or more variables and summarize data in rows and columns making it easy to understand the relationships and intersection of the various types of data. Understanding relationships in data is crucial to identifying the root cause of a problem or to targeting an issue or identifying a business opportunity. Your team members can work with multi-dimensional data and perform ad-hoc queries to gain a clear view of performance, dive into your data, and find and understand the data they need quickly and intuitively. Cross-tab analysis simplifies complex data operations, summary operations, time series functions, filters and custom column expressions and enables business users with simple tools they can really use.
‘If you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.’
Business Intelligence tools can improve your business results. If your business understands the challenges of implementing a business intelligence solution and adequately plans for implementation and user adoption, it can leverage the benefits of these tools and solutions and ensure success. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Enable User Adoption with Self-Serve BI and Cross-Tab Analytics!
Gartner research reveals that, ‘80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’
If you are considering democratizing business intelligence gathering and analytics, you are not alone! Businesses today face more competition from local and global markets and every team member must work quickly and accurately in support of goals and objectives if the enterprise is to achieve its goals.
‘When senior executives and managers have reliable information and dependable recommendations and suggestions, they can improve performance and accuracy in forecasting, planning and demand.’
In this article, we discuss a few of the reasons a business should consider democratizing business intelligence and analytics within its team and how this type of initiative can be implemented to help your enterprise succeed.
When you provide BI tools to your business users, you democratize data and begin to build a better understanding of the root cause of problems, the opportunities the business can leverage and the way forward to solving problems and creating business success. Team members can work smarter, with quick, concise access, and insight into data via self-serve solutions that streamline and simplify the typically complex analytical process and allow every team member to perform the analysis and, more importantly, to understand what the results are telling them.
When you democratize business intelligence and analytics with augmented analytics tools, IT team members, data scientists and business analysts can focus on strategic goals and on initiatives where data must be 100% accurate. Team members can use BI tools on a daily basis to test theories and gather and analyze information to support activities and tasks, collaborate with others and move forward, so EVERYONE can focus on their own roles and core responsibilities.
When senior executives and managers have reliable information and dependable recommendations and suggestions, they can improve performance and accuracy in forecasting, planning and demand. Team leaders, business unit managers and others can realize long-term benefits and count on the fact that all team members are working with the right information, that information and analysis is based on current, integrated data and on measurable results. The organization can shift to a results-based environment where problems are analyzed and resolved and opportunities are leveraged to the greatest extent possible, so the enterprise can create an environment of continuous improvement.
When all team members are using business intelligence to test theories and hypothesize, to solve problems and get to the root of a problem, to identify those all-important ‘nuggets’ of information that make a competitive difference, managers and executives can feel confident that the team is speaking a common language and that every team members knows how to find a problem, how to explain that problem and how to dependable recommendations to solve that problem.
‘Businesses should consider democratizing business intelligence and analytics within teams to help the enterprise succeed.’
Business Intelligence tools can support data democratization and improve your business results. If your business understands the challenges of implementing a business intelligence solution and adequately plans for implementation and user adoption, it can leverage the benefits of these tools and solutions and ensure success. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Should I Democratize Business Intelligence in My Business?
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.
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.
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.
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.
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!
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!
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 predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’ If businesses wish to fulfil this prediction, managers must choose self-serve tools that will allow for analytics and fact-based decision making without hiring a team of professional data scientists AND they must leverage the tools already in place to enable user adoption of analytics.
But how?
‘To enable analytics in the Tally ERP environment, the enterprise must carefully consider the ease-of-use of the solution, whether it requires training, how accessible the solution is and whether the business user can accomplish tasks easily.’
In this article, we discuss the use of Tally ERP and how your business users’ favorite business application can be used to engender analytics and more accurate decisions.
‘Discover how your business users’ favorite business application can be used to engender analytics and more accurate decisions.’
With easy-to-use tools and the ability to leverage the familiar Tally ERP solution, users do not have to choose between day-to-day tasks and analytics. They can do both, in the office or in a mobile environment. Because team members often resist change and new responsibilities, the enterprise must carefully consider the ease-of-use of the solution, whether it requires training, how accessible the solution is and whether the business user can accomplish tasks easily without having to deal with data in a silo environment. Integrated access and easy tools are key!
Find out how the addition of SmartenApps for Tally will support analytical initiatives and provide benefits to your users and your enterprise. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify and to provide insight to clients, colleagues, management and team members.
Original Post : How Can Tally ERP Users Leverage Their Favorite App to Perform Analytics?
