The Client is a prominent engineering company in India, renowned for its extensive history. For over 160 years the Client has delivered bespoke design engineering and precision manufacturing solutions, specializing in enabling seamless motion across industries that include automotive, agriculture, marine, light construction, firefighting, and railways. The Client provides cutting-edge power solutions for critical installations and diverse applications, with expertise in fuel-agnostic engines and precision manufacturing of key engine components. It has expanded offerings in electric power train for mobility and other industrial power applications and a strengthening position in the motion control solutions space with strategic acquisitions, empowering progress across multiple sectors. The Client business is publicly traded on the National Stock Exchange of India (NSE) and the Bombay Stock Exchange (BSE) and a robust distribution network including 200 distributors, 8000 retail stores and 20,000 mechanics across India.
Today, the use of Artificial Intelligence (AI) has a wealth of potential and prospective application in the field of analytics and its integration within analytical products provides numerous benefits to the business. There are many ways in which artificial intelligence (AI) can augment the capabilities of existing analytics solutions, and provide additional insight, support and results.
World-renowned technology research firm, Gartner, predicts that ‘40% of application development teams will be using automated data science and machine learning services to build models and add AI capabilities to applications.’
True to this prediction, many business intelligence and analytics solution vendors have added AI capabilities to self-serve analytics to create an environment that encourages productivity, fact-based decisions and efficient business processes, approval processes, automated alerts, etc.
There are a number of ways that artificial intelligence can enhance and improve the features and functionality within an enterprise using the augmented analytics environment:
Business Intelligence (BI) – Artificial Intelligence can be used to analyze large datasets and to sort and present data to achieve actionable insight, recommendations and suggestions, spotting trends, providing forecasts and optimizing results.
Generative AI (GenAI) Applications – Using Natural Language Processing (NLP) and Machine Learning (ML), AI tools can create content including images, text, video and other components to enhance presentation, interact with customers and suppliers in a targeted way and personalize messages.
Analytics Tools and Techniques – Team members and end-users can leverage self-serve analytics with AI to identify patterns and trends, gain insight, present data in a way that is meaningful to a particular target audience, predict outcomes, analyze customer buying behavior and analyze performance of products, services and other operational components.
Marketing and Advertising – The organization can analyze data from disparate data sources to identify market trends, changes in targeted customer preferences, requirements for customer relationship management, and other factors that relate to competitive advantage and customer retention.
Analytics Features and Development – Vendors and solution providers can use AI to quickly and easily upgrade analytics solutions, add features and functionality and reduce development time to keep up with client and market demands.
Current Artificial Intelligence technologies like ChatGPT, GenAI, and Agentic AI all provide specific capabilities to satisfy business requirements and inform and improve analytics with data gathered from within the organization that can be repurposed, targeted and used to solve problems, identify opportunities, present data to management, partners and customers, and communicate with all stakeholders using relevant data and information garnered from within and outside the enterprise.
Improve Data Visualization – Create interactive dashboards, graphs and charts to help users present and share data in a way that is meaningful to a particular audience, and to clearly present data for confident decision-making. It can recommend and suggest visualization techniques to improve and refine how data is presented.
Improve Analytics with Task Automation – Automate activities and tasks, using customized automation scripts, and baseline filters and rules to extract and present data that meets user parameters. It can schedule and produce repetitive reports, and scripts can be altered change parameters, thereby freeing users to perform other operational or more strategic activities.
Predictive Analytics – Create predictive models using self-guiding UI wizard and auto-recommendations for swift, effortless forecasting and predictive analytics using data from numerous data sources.
Natural Language Processing (NLP) – Expand the capabilities of text generation and human language processing. It can enhance low resolution images, recognize and synthesize images and generate images for creative presentation of data and information.
Auto Insights and Machine Learning – Automates the process of interpreting and presenting results using rich visualization techniques, and includes all salient details, so users can review, share or edit content as they please.
Automated Alerts – Analyze results and trigger and generate alerts to protect against security violations, fraud and other risks, by analyzing normal behavior and results and comparing it to current and real-world results to identify anomalies.
Reporting – Using visualization, graphs, images and combining those with summaries and details can provide reports and presentations that are clear and suitable for all audiences, including management and executives, as well as teams and staff members.
Interpretation and Summarization – Quickly interpret and summarize data without spending a lot of time creating content, editing and preparing.
Data Preparation – Improve data transformation and cleansing and help prepare data and improve the quality of that data using phonetics for clustering, identifying data types, and hierarchies, suggesting alternate values etc.
Support for Citizen Data Scientists – Use AI cutting-edge tools to support team members with sophisticated, intuitive tools that leverage artificial intelligence (AI) and analytical techniques to produce concise results without requiring the skills of Data Scientists.
The analytical solutions market is moving quickly to adopt Artificial Intelligence and if your business wishes to succeed, it too must move to find and improve products and services as quickly as possible to meet customer expectations and to satisfy the ever-changing landscape of business competition.
This Client is a global telecommunications infrastructure provider, offering comprehensive end-to-end solutions for wireless network planning, optimization, and performance management. It offers services to over thirty (30) Tier 1 and Tier 2 telecom operators and Original Equipment Manufacturers (OEMs) worldwide, and excels in advanced 5G NR and LTE-A technologies as well as legacy networks. Business services include RF Planning, Optimization, Quality of Service (QoS) Benchmarking, In-Building Solutions, and skilled Manpower Deployment to provide seamless execution across diverse environments. The Client operates in more than fifteen (15) countries and spans five (5) continents.
Low Code No Code Development Supports Analytics Performance
Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend. While advanced analytics and augmented analytics solutions provide a sophisticated, complicated underpinning of algorithms and analytical techniques, the average enterprise expects (and should look for) tools that are easy to use, so they can improve data literacy and data democratization and leverage analytics within the organization at the business user level, to improve results and efficiency.
It may be difficult to understand how such complex systems can benefit from the no code, low code approach, since the very concept of this approach seems at odds with the complexity of an analytical solution, but nothing could be further from the truth. When applied appropriately, these techniques can benefit the foundation of the augmented analytical solution and the users of those solutions.
Time and Expense – In a world where new features and functionality must keep pace with market demand, the emergence of no-code and low-code allows developers to add analytical functionality quickly, while controlling costs and time to market.
Business and Market Requirements – As organizations and business users embrace analytics, the need for new types of visualization, reporting and features changes quickly. In order to stay abreast of these changes and offer businesses the products they need, analytical vendors can quickly leverage, modify and develop new approaches to satisfy user requirements. Vendors can accommodate business-specific needs and data visualization requirements without time-consuming, expensive customization.
Integration of Third-Party Apps – Low-Code, No-Code capabilities support the easy integration of other enterprise applications and solutions and allow data analysis across the organization.
Performance and Scalability – Low-Code and No-Code solutions and platforms enable high-performance, scalable solutions and ensure that businesses can accommodate an expanding user base and data volume.
Compliance, Data Security and Industry Standards – No Code, Low-Code development includes data encryption features and user access security controls to mitigate risk, and protect data integrity and privacy.
If you are still wondering whether low-code and no-code approaches are appropriate for software and applications, consider these predictions and statistics from technology research organizations:
Gartner predicts that 75% of new software solutions will incorporate a low-code approach to development.
By some estimates, the use of low-code, no-code and artificial intelligence in analytics solutions has increased user access to analytics by as much as 56%.
Gartner predicts that organizations that lack a sustainable plan to operationalize and manage data and analytics will face a two-year setback in their data and technology efforts.
Choosing the right self-serve, augmented analytics solution can help the enterprise build a crucial foundation for analytics, for transition of business users into a Citizen Data Scientist role and for improved time-to-market, decision-making and collaboration. The use of new and cutting edge technologies and the seamless incorporation of these technologies is critical to the success of the analytical application implementation and to return on investment (ROI) and total cost of ownership (TCO) metrics.
If you are a business executive or an IT professional, you have probably seen a number of articles about the importance of Business Intelligence in industry publications and trade journals. If you are still unconvinced or uncertain about the critical importance of business intelligence (BI) and analytics for businesses like yours, here are some sobering, surprising and impressive statistics to ponder.
The global business intelligence adoption rate is 26%.
Organizations use 4 or more different business intelligence tools on average.
Organizations leave 97% of gathered data unused.
74% of employees feel unhappy or overwhelmed when working with data.
Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not.
Bad data costs the US economy $3.1 trillion each year.
When you review these statistics, you will notice that some of the issues described can be resolved by the careful selection of the right software and solutions to satisfy your business, your team needs and your data infrastructure.
If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.
‘Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.’
The right mobile BI tools can address the issues and statistics listed above in the following ways:
The global business intelligence adoption rate is 26% – Mobile BI tools will increase the user adoption rate by providing intuitive data analytics that users can access from anywhere at any time, making these tools an important part of each team member’s tool box.
Organizations use 4 or more different business intelligence tools on average – The right mobile BI solution can integrate data from disparate data sources, and allow users to visualize in a way that is meaningful to each team member. It can optimize technology infrastructure and mitigate the issue of data silos and complex data mining and data gathering.
Organizations leave 97% of gathered data unused – Data is often misunderstood, misused or unused simply because team members and the enterprise do not know how to leverage, gather and analyze the data, or because the IT and/or data science team is short on resources and does not have the time to produce reports. Mobile BI tools are designed to be used by business professionals on a daily basis and to encourage data literacy and data democratization across the enterprise.
74% of employees feel unhappy or overwhelmed when working with data – Understand and address your business user concerns and make data more accessible, easier to understand and use, concise and clear, so that every user can optimize data, make confident decisions and share and collaborate without data science skills or sophisticated data analytical experience.
Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not – Improve productivity, time to market and return on investment (ROI) and total cost of ownership (TCO) to gain a competitive advantage with mobile tools and easy-to-use techniques that will enable fact-based decisions.
Bad data costs the US economy $3.1 trillion each year – Banish bad data by integrating your data sources and analyzing and presenting data in a mobile environment to gain insight into trends, opportunities, issues and problems and reveal clear, concise soluti
‘If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.’
Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.
If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Mobile BI Business Use Provides Real Advantages.’
Choose a BI Reporting Tool that Tells You What You Need to Know!
The ideal business intelligence and analytics solution includes traditional BI features, modern BI and analytics components and a full suite of reporting capabilities that are easy for your team to use, and will produce clear, concise results for fact-based decision-making.
According to a recent TechJury survey:
Data analytics makes decision-making 5x faster for businesses.
The top three business intelligence trends are data visualization, data quality management, and self-service business intelligence (BI).
7 out of 10 business rate data discovery as very important.
‘A BI reporting tool that enables users to customize their view and approach and is easy to understand and use will make the user more productive and ensure Return on Investment (ROI).’
If you are considering a Business Intelligence or Augmented Analytics solution, be sure to select a software suite that provides your business users with personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab and Tabular reports, GeoMaps and deep dive analytics with 100% browser based interface and self-serve features that encourage and support Social BI and collaboration.
By providing your team access to flexible, agile reporting tools, you increase the probability of user adoption, and improve the outcome, with reports and results that are meaningful to the user, and to the target audience of a presentation or distributed report.
Every business has unique reporting and documentation needs. Whether you are a business user or an analyst or IT professional, you use augmented analytics and BI tools in a way that is meaningful to your role. Gathering, preparing and analyzing is important but the final step in this process is equally important and that task often frustrates the user more than anything. Excel, cross-tab and tabular reporting are helpful, but those report and documentation options typically present data in columns and rows. A BI reporting tool that enables users to customize their view and approach and is easy to understand and use will make the user more productive and ensure Return on Investment (ROI).
Consider a Business Intelligence reporting tool that enables report, template and document design and configuration and supports preprinted fixed formats too. IT team members or consultants can leverage a simple, basic programming or scripting environment to define format templates and use data from Datasets and objects to produce stunning pixel perfect reports. Users can preview reports, export data to PDF files and share documents and reports via email at predefined frequency using delivery and publishing agents.
Benefits of Agile, Flexible Business Intelligence Reporting
Customize and Format Reports, Documents, Forms and Templates Using Basic Scripting Skills
Generate Reports from BI Datasets in Predefined Formats
Satisfy Unique Business, Departmental, Functional and Statutory Requirements
Present Information in a Clean, Attractive Format for Customers, Partners, Suppliers, Team Members
Allows Business Users to Gather, Present and Share Information via Email and Publishing Agent
‘If you are considering a Business Intelligence or Augmented Analytics solution, be sure to select a software suite that provides your business users with personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab and Tabular reports, GeoMaps and deep dive analytics.’
For out-of-the-box reporting and flexible, interactive formats, explore our full suite of reporting tools: Pixel Perfect Print Reports, Business Intelligence Reporting. If your organization is looking for BI Tools and Augmented Analytics that leverage advanced techniques to keep pace with changing enterprise needs and support business agility, let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.
Look for Analytics with Low-Code/No-Code Technology!
The advent of low-code, no-code app and software development has enabled rapid, innovative changes to all types of development projects and that new environment is evident in Modern Business Intelligence (BI) and Augmented Analytics products and solutions.
Mobile BI Business Use Illustrates Real Advantages!
Mobile Business Intelligence (or Mobile BI) is defined as ‘a system comprising both technical and organizational elements that present historical and/or real-time information to its users for analysis on mobile devices such as smartphones and tablets (not laptops), to enable effective decision-making and management support, for the overall purpose of increasing firm performance.’
Aberdeen Group reports that businesses adopt Mobile BI to:
Improve business process efficiency
Improve employee productivity
Make better decisions, more quickly
Provide better customer service
Deliver real-time bi-directional data access to make decisions anytime and anywhere.
‘Mobile BI benefits go well beyond simple reporting and the sharing of data across user groups, to address real business issues and to keep users up to date and allow them to respond to real world, real-time issues.’
As local and global competition increases, most businesses are looking for ways to improve their competitive advantage, and to quickly adapt to the changing market, to employee needs and to customer buying behavior.
It can be helpful to consider some real-world business use cases, in order to understand the value and benefit of incorporating a Mobile BI solution within your technology landscape and your analytics approach.
The advantages of Mobile BI go beyond team collaboration and individual reporting needs, to provide the background and foundational information needed to make decisions on business strategy and to understand customer preferences.
The following list of companies represents a small sampling of businesses currently using Mobile BI to improve business results and efficiency:
Amazon – Amazon analyzes purchasing behavior and browsing history to predict what products a customer might want to see, and what they are likely to buy, personalizing the customer experience and making it easier for customers to complete a transaction. BI tools help the business to forecast demand and ensure that stock is available.
Starbucks – The business has implemented a loyalty program to help with customer engagement and sales, personalizing marketing strategies and allowing customers to order, pay and receive rewards. It gathers data using its digital channels and uses that data to create targeted offers and to improve customer retention, as well as increasing the amount customers spend during a visit.
Netflix – The company uses BI tools to personalize the viewing experience and to analyze customer viewing preferences and push specific options to the customer based on viewing history. Mobile BI tools allow teams to analyze and share information regarding regional viewing and to make decisions on the fly.
Uber – The company business model is dependent on the rapid changes and shifting behavior of customers from one local and regional area to the next. Real-time pricing and operational decisions are made to support surge pricing and driver deployment for high demand areas. The back-end systems and BI tools allow drivers to access information using the Uber app so that they can quickly respond to the changing environment.
Tesla – Mobile BI and wireless car data analytics allow Tesla to connect remotely to corporate offices and collect and analyze vehicle data to address issues and update customers on maintenance etc.
X/Twitter – Mobile BI provides support or moderators to identify and quickly address platform safety issues, violations, etc. The integration of artificial intelligence (AI) with BI tools allows the business to quickly respond and ensure a safe user experience.
Mobile BI provides the background and foundational information needed to make decisions on business strategy and to understand customer preferences.
These examples illustrate the many ways in which Mobile BI can be used to address business issues, providing user access and analytics for team members no matter where they are and how they need to use the data. Mobile BI benefits go well beyond simple reporting and the sharing of data across user groups, to address real business issues and to keep users up to date and allow them to respond to real world, real-time issues.
If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Understanding The Truth About Mobile BI.’
What Do I Need to Know Before I Choose a Mobile Business Intelligence (BI) Solution for My Business?
What makes a great Mobile Business Intelligence (BI) solution? There are many factors to consider and, if you do not choose wisely, you risk a) spending a lot of money and getting very little in return, b) working with incorrect, old or incomplete data, c) having to upgrade and spend even more money, d) disappointing your team and falling short of objectives, e) missing your Citizen Data Scientist initiative goals.
Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration!
Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also disclose information about your use of our site with our social media, advertising and analytics partners.Accept Cookies
