Year: 2022

Integrate Tally ERP and Analytics and Succeed!

author_img
by |
August 10, 2022

Why Does My Business Need to Add Analytics to Tally ERP?

If your business is currently using Tally ERP, your business users are familiar with the features and the data structure of the module they use, whether they are an accounting professional, managing inventory, reviewing sales or preparing statutory financial reports. Your management team may be considering adding analytics to your organization in order to democratize data and to improve fact-based decision making. If the organization decides to add analytics to the Tally ERP environment, it will have the best of both worlds.

Gartner states that, ‘90% the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives.’ There are many reasons a business leader will converge analytics and other initiatives. One of these reasons is that the integration of analytics into other work processes and activities ensures successful deployment of analytics throughout the enterprise.

‘By adding analytics to the Tally ERP environment, the enterprise can improve organizational agility, increase the value of existing team member knowledge and experience and avoid creating data silos that will inhibit user adoption.’

In this article, we take a look at why it is wise to integrate your Tally ERP solution with integrated analytics and how it can benefit your enterprise.

Do I Need to Integrate Analytics with Tally ERP?

One-Stop Analytics

When you integrate augmented analytics with the familiar Tally ERP solution, users can leverage their favorite application to prepare and perform analytics. There is no need to frustrate users with data silos and new applications that are complex and difficult to use. Using out-of-the-box analytics with sophisticated functionality in an easy-to-use environment, users can analyze and report on sales, purchasing, bank, cash, payables, receivables, inventory, taxes, cost centers, ledgers and account statements.

Value Add

Financial, accounting and other professionals can add more value to the organization, to business units, to clients and to colleagues by performing analytics across modules, leveraging pre-built reports and gaining insight into data. Your finance-related teams will be welcomed as crucial team members and can provide clarity and help the organization use the data contained within the Tally ERP solution to understand issues and opportunities and identify trends.

No Advanced Skills Required

Using domain, topic and career experience, your finance-related team members can prepare, analyze and understand data and information without the assistance of IT team members or data scientists. This allows the organization to democratize data and improve data literacy and takes the professional business users beyond data entry and into the realm of analytics without asking them to learn new technology skills.

By adding analytics to the Tally ERP environment, the enterprise can improve organizational agility, increase the value of existing team member knowledge and experience and avoid creating data silos that will inhibit user adoption.

‘Your management team may be considering adding analytics to your organization in order to democratize data and to improve fact-based decision-making.’

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 : Do I Need to Integrate Analytics with Tally ERP?

Hybrid Ionic Mobile App Development Gets Results!

author_img
by |
August 8, 2022

Thinking of a Mobile App? Consider Ionic Cross-Platform Platform!

World-renowned consulting firm, Deloitte, states that, ‘The implementation of digital technologies can help accelerate progress towards enterprise goals such as financial returns, workforce diversity, and environmental targets by 22%.’ If your business is considering expanding its market reach, or providing more flexibility and access to tools for business users, it is likely working on a mobile application initiative to support its initiatives and goals.

Continue reading “Hybrid Ionic Mobile App Development Gets Results!”

Get the Right Predictive Analytics Tools for Users!

author_img
by |
August 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users?

If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. The technology research firm, Gartner, states that, ‘50% of data scientist activities will be automated by artificial intelligence, easing the acute talent shortage.’

For the average team member, the concept of predictive analytics may seem daunting and, if you are a business user whose management team has asked you to embrace and participate in analytics, the addition of predictive analytics to your day-to-day business processes may seem irrelevant or it may seem to mean you will be expected to work harder or produce more output. But don’t be too quick to assume the worst.

‘By providing this type of expanded functionality to the team, the business can enable both data scientists and business users with predictive analytics that will benefit the organization.’

Let’s take a look at Predictive Analytics, the benefits of Assisted Predictive Modeling and its importance in the organization and how intuitive augmented analytics can help business users achieve their goals without requiring advanced training or additional workload.

Predictive Analytics Can Make Business Users Happy!

What is Predictive Analytics?

Predictive analytics is comprised of sophisticated analytical methodologies that allow businesses to predict future outcomes based on historical data. Using these techniques, the organization can predict future events, customer buying behaviors, and business outcomes. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques.

Understanding Assisted Predictive Modeling

When a business provides augmented analytics tools for business users, it allows the team to perform predictive analytics on a daily basis without the assistance or skills of a Data Scientist or an IT professional. Assisted Predictive Modeling provides auto-suggestions and recommendations to guide business users with recommended techniques, selecting the most appropriate techniques for the type and volume of data the user wishes to analyze. If the business chooses an augmented analytics tool with intuitive predictive modeling features, it allows users to work quickly and receive clear, concise results for decision-making so user adoption of the tools is more likely and forecasting and predictions are accurate and timely. All popular predictive modeling techniques are incorporated into the solution, so users have access to the most sophisticated predictive analytics and tools and can use these tools to model and review business use cases and issues.

The Benefits and Importance of Assisted Predictive Modeling

These tools allow the organization to apply predictive analytics to real use cases to analyze customer churn, to target customers, to identify cross-selling and product bundling, to find and set appropriate price points, to forecast where and when to open new locations, when the business will need new suppliers, when equipment will require maintenance, etc. A comprehensive augmented analytics solution also includes the benefit of integration with R Script, so that data scientists can capitalize on expertise and leverage enterprise investments in R open-source platforms, to perform statistical and predictive algorithms, and complex analysis to provide the depth of detail and advanced analytics and reporting the organization needs for strategic decision-making. By providing this type of expanded functionality to the team, the business can enable both data scientists and business users with predictive analytics that will benefit the organization, encourage collaboration and data sharing, and improve data literacy – all without increasing workload or frustrating users and team members.

‘Intuitive assisted predictive modeling and augmented analytics can help business users achieve their goals without requiring advanced training or additional workload.’

Find out more about Assisted Predictive Modeling and Augmented Analytics and explore the potential of comprehensive Predictive Analytics here. Find out how it can improve user adoption of analytics and increase accuracy of forecasting and results.

Original Post : Get the Right Predictive Analytics Tools for Users!

Hire iOS Programmers and Get the Right Skills!

author_img
by |
August 3, 2022

When You Hire iOS Programmers Your iPhone or iPad Mobile App WILL Succeed!

If you follow the mobile device market, you know that Android and Apple have been in close competition for years and, while every user has a favorite, some users now use both types of devices – perhaps an Android at work and an iPad or iPhone at home. Whatever your preference, if your organization wishes to develop a business or consumer mobile application, there are some interesting statistics to consider in the iOS realm.

Continue reading “Hire iOS Programmers and Get the Right Skills!”

BI Tools Provide Benefits and Challenges!

author_img
by |
August 3, 2022

Understand the Benefits and the Challenges of a Business Intelligence Strategy!

If you follow industry and business publications, you know that analytics are taking the lead in business strategy. Gartner states that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ If your enterprise is implementing a business intelligence and analytics strategy, it is important to plan carefully and to understand the real benefits as well as the challenges of choosing the right BI tools and deploying these tools to users in a way that will ensure optimal user adoption and leverage of analytics to achieve the results you need.

‘Your business should carefully assess requirements and plan for expected user adoption by selecting a BI tool that will offer the features, ease-of-use and functionality your team members need.’

In this article, we provide examples of the various benefits of BI tools for specific business functions and some of the technology and user challenges you will face as you consider your options and plan for implementation.

Address the Challenges and Achieve the Benefits of BI Tools

No matter the business function, there are benefits to implementing a business intelligence strategy that will deploy these tools to your team members. Here are some examples:

Benefits

Finance – Your organization will be more efficient and profitable, with Ready-to-Use Dashboards, Analysis, and KPIs designed especially for the Finance domain. This business intelligence solution includes interactive Dashboards that allow users to perform intuitive, easy analysis of key metrics including Profitability, Accounts Receivable, Accounts Payables, Cash Flow Analysis, Past Due Invoices, Balance Sheets, Income Statements and more!

Inventory – Inventory business function allows users to accurately plan and optimize inventory. Interactive Dashboards track item movement, compare sales to closing stock, and monitor warehouse stock and value, and answer critical questions regarding stock turnover ratio, seasonal buying, back-order assessment and safety stock to prevent lost sales. Users can analyze inventory levels to effectively manage stock based on the buying behavior of customers.

Purchasing and Procurement – Allows users to view and analyze spending details, analyze procurement data, drill through data to analyze issues, measure performance, identify savings opportunities, and track supplier performance. Identify reliable trading partners, analyze supplier cost, perform purchase rate comparisons, reveal trends, identify top/bottom vendors, and achieve timely insight into spending patterns and trends across all departments.

Production – Quantify and visualize data at the operational level to make fact-based decisions. Analyze Output, Reduce Labor Costs, Maintain Inventory Levels, Optimize Equipment Performance, Monitor Rejection Ratios and Downtime, and take action before problems arise to mitigate risk, and capitalize on opportunities. Publish automated reports to monitor and manage plant performance and provide management with quality metrics and relevant data.

These are just a few examples of how business intelligence can be used within a business function, department or business unit to benefit business users and to help the organization make fact-based decisions, spot trends and patterns and opportunities, and identify the root cause of problems.

If you want to take advantage of all of these benefits and ensure success of your business intelligence initiative, your business should carefully assess requirements and plan for expected user adoption by selecting a BI tool that will offer the features, ease-of-use and functionality your team members need.

Technology and User Challenges

Social BI

Your team members are also consumers and outside of the office they are used to a collaborate and social experience. By engaging in Social BI, your team can champion data sharing, collaborate on creative ways to analyze data and make quick work of data analytics, with tools that allow the user to ‘like’, ‘share’ and leverage other social tools and networking techniques.

Mobile BI

Not every BI tool provides real mobile business intelligence to accommodate every type of device, screen size and resolution. Choose a solution that has a Responsive and Adaptive UI engine, so you can roll out BI tools on any Desktop, Tablet or Smartphone without any device specific development. ‘Design once, Use anywhere’ concept in true sense.

Personalized Dashboards

Business users will not adopt a solution that limits them to predefined dashboards. Each user has a need to see and use data in a different way. Be sure to select a solution that allows your users to work in a way that is meaningful to them.

Interactive, NOT Restrictive

Choose a solution that will allow users to leverage deep dive analytics. There is no way an organization can anticipate every question or type of analytics a business user will need to incorporate into decision-making. Provide truly interactive tools that will assure user adoption and make your organization more agile.

Ease-of-Use

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization with Self-Serve Data Preparation, Smart Data Visualization and Plug n’ Play Predictive analysis that can drastically reduce the time and cost of analysis and experimentation.

‘No matter the business function, there are benefits to implementing a business intelligence strategy that will deploy these tools to your team members.’

Ready-To-Use 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 : Address the Challenges and Achieve the Benefits of BI Tools!

Angular Developers with the Right Skills Can Help Your Business!

author_img
by |
August 2, 2022

Hire Angular Programmers for Your Business or Consumer Mobile App!

If your business is considering Angular or Angular JS for application development or cross-platform applications, it will find that Angular is quite popular among developers and programmers.

Continue reading “Angular Developers with the Right Skills Can Help Your Business!”

Augmented Analytics Use Cases for Citizen Data Scientists!

author_img
by |
August 1, 2022

Enable Citizen Data Scientist User Adoption of Augmented Analytics with Business Use Cases!

Gartner research states that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ This prediction is supported by initiatives in businesses around the world, as the average enterprise recognizes the value of fact-based decisions and improved business agility.

For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics. Simply providing the advanced analytics solution and integrated data across the enterprise does not ensure user adoption. But, if a user can understand how these solutions will make their jobs easier, and how augmented analytics can help a team member improve their contribution, speed the business process and increase their career potential, user adoption is more likely.

‘Appropriate Citizen Data Scientist training and organizational planning will provide a solid foundation and build business user confidence by providing an introduction, fundamental information and the tools these users will need to succeed.’

In this article, we explore a few examples of business use cases to illustrate how a business user can examine real world business issues within the augmented analytics environment to create data stories and reveal clear, concise results to support recommendations and actionable direction.

Citizen Data Scientists Employ Business Use Cases to Succeed

Customer Churn

By understanding why customers abandon your business, you can address the root causes and issues that create customer churn and prioritize these issues to address the most important factors first. You can alter marketing messages and campaigns to improve results and even create new products or services that will improve customer satisfaction and retention.

Among the many considerations you might analyze for customer churn, your business use case might include services that each customer uses like phones, the number of phones lines, internet services, online security, online backup, device protection, tech support, and streaming TV and movies or you might look at customer account information such as how long they have been a customer, the contract length and detail, payment method, paperless billing, monthly charges, and total charge. Customer churn analysis might also include demographic information about customers like gender, age range, and if they have partners and/or dependents

When considering customer churn analysis, one might use the binary logistic regression technique.

Product and Service Cross-Selling

The use case for product and service cross-selling and up-selling is useful to understand what your customers like, and where you can cross-sell, bundle or up-sell other products by leveraging what you know about your customer’s buying behavior. Every business needs to know what makes a customer buy or try another product and what features, design or product or service combinations might help the business sell more units. For example, a retail store manager may want to analyze the optimal and strategic placement of various products in order to increase cross sales.

By looking at transactions, the date of a purchase and what the customer purchased, the business can develop a comprehensive understanding of behavior and brand loyalty. The enterprise will benefit by increasing revenue, targeting new products and services, creating marketing messages to target a particular customer demographic and improving brand loyalty and the product and service mix. One could consider the date of purchase and the products purchased to find item combinations and the frequency of purchase.

To perform analysis on this type of use case, the business might use Frequent Pattern Mining.

Human Resource Attrition

This use case focuses on human resource attrition. Like customer retention, human resource retention is important because stable retention eliminates the cost of advertising, interviewing, hiring and training a new employee. Human resource attrition analysis allows the business to see which employees are likely to leave and which will remain loyal, based on tenure, training, job responsibilities, and other factors.

The analytical data set will include pay, performance and reward information, past work experience, team member demographic information like gender, age, education, marital status and employment tenure, as well as job satisfaction rankings for things like satisfaction with pay, and surveys and more. The business might also include performance-reward contingencies.

By reducing employee turnover, the business can improve hiring and screening processes, optimize human resources and compensation, improve training programs and increase employee loyalty and satisfaction.

For this business use case, the business might use the Binary Logistic Regression technique.

For any or all of these Business Use Case examples or any of the many other use cases a team member might want to examine, the augmented analytics solution will provide a sophisticated underpinning of machine learning, natural language processing (NLP) search capability and an intuitive interface to enable and speed the analytics process with tools that are designed for the average business user and require no data science or IT experience or knowledge.

‘For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics.’

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. Appropriate Citizen Data Scientist Training and organizational planning will provide a solid foundation and build business user confidence by providing an introduction and fundamental information on Predictive Analytics and other tools these users will employ. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Augmented Analytics Use Cases for Citizen Data Scientists!

Build Your Software Team with Expert Android Developers!

author_img
by |
August 1, 2022

Hire Android Programmers and Enjoy the Benefits!

According to recent research by Statista, ‘Android maintained its position as the leading mobile operating system worldwide, controlling the mobile OS market with a close to 70 percent share, while iOS accounted for around 25 percent of the mobile operating system market.’

Continue reading “Build Your Software Team with Expert Android Developers!”

Embedded BI with Integration APIs: Your Secret Weapon!

author_img
by |
July 29, 2022

Businesses Can Capitalize on Embedded BI to Improve Results!

The technology research firm, Gartner, has predicted that, ‘…more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ While one might consider this new approach to affect only productivity, in fact, there are many other reasons a business might consider adding augmented analytics to its software environment.

‘By using Embedded BI with Integration APIs, users do not have to take the time to log in to another system and try to figure out a way to merge data with analytics.’

In this article, we discuss Embedded BI and Augmented Analytics and how integrating these tools into the day-to-day work environment can help the business to improve results.

Discover the Business Benefits of Embedded BI

Putting it Together

Every business uses technology and software. Within the virtual walls of these systems, the business maintains and uses data. Business users input numbers, customer interaction, financial investments, purchasing, inventory, training and all manner of enterprise factors affecting success. Most team members use one or two software solutions that relate directly to their role and the tasks they perform. When the organization asks a team member to adopt augmented analytics, the new tools can be daunting, and the expectation that the team will now use one more software solution is often seen as creating a heavier workload. When the business embeds BI and augmented analytics within the confines of the familiar software solution, the business user can sign on to the existing software and, in a single sign-on (SSO) environment, gain access to augmented analytics tools that will help them leverage the data in a new way to gain insight into issues and find the root cause of a problem, to identify opportunities, changes in customer buying behavior, trends in sales, and other factors that affect success. These intuitive tools ensure that there are no obstacles to user adoption and make it easy for users to embrace and employ the tools to achieve better results.

Quick Implementation with No Training Requirement

Because team members do not need to learn new, complex software products, it is more likely they will adopt augmented analytics. The fact that embedded BI is integrated using APIs means that the user does not perceive the new tools as a burden. Users do not have to take the time to log in to another system and try to figure out a way to merge data with analytics. They can use existing tools to find and manipulate data and then combine and analyze that data to see the data in a different way and to create actionable, clear reports.

Improving ROI and TCO

Technology investment is usually a sizeable portion of the enterprise budget. Businesses acquire and use various software solutions to solve specific problems and support certain teams and tasks. By adding embedded BI and augmented analytics to these software environs, the organization can enhance and improve the return on investment (ROI) and reduce the total cost of ownership (TCO).

‘Embedded BI and Augmented Analytics integrates value-added tools into the day-to-day work environment to help the business to improve results.’

While Gartner and other technology consulting firms have rightly predicted the increasing use of augmented analytics and the rise of Citizen Data Scientists, the benefits and improvements inherent in these initiatives go far beyond productivity. By leveraging Embedded BI with Integration APIs, the organization can improve and optimize the use of existing technology and improve results by gaining insight into data, using existing systems and business processes.

Leverage the Smarten approach to Embedded BI And Integration APIs to add powerful functionality and provide access to existing ERP, SCM, HRMS, CRM or any other products and to provide analytics capabilities within existing products without major Investment. Reduce time to market and stay ahead of the competition!  

Original Post: Embedded BI with Integration APIs: Your Secret Weapon!

The 2 Best Things About MEAN Cross-Platform Development!

author_img
by |
July 27, 2022

There are a lot of things to like about the MEAN cross-platform development environment! This article explores just two of the things developers (and by extension, businesses) like about using the MEAN cross-platform development approach.

Continue reading “The 2 Best Things About MEAN Cross-Platform Development!”