The Client is a leading electric mobility company in India, specializing in high-performance electric two-wheel scooters engineered for sustainable urban transportation. With a robust presence across 200+ cities, the organization leverages lithium-based battery technology, and advanced electric powertrain systems that are tailored to accommodate Indian road conditions.
The evolution of advanced analytics has been rapid and impressive. With features that provide support for business users and help to transition them into Citizen Data Scientists, and the addition of Artificial Intelligence (AI) and other capabilities like Natural Language Processing (NLP) and search analytics, augmented analytics is suitable for every team member in your organization. It is easy to be impressed with all of the new bells and whistles and these additions certainly do make a user’s life easier and help the organization to analyze and use data in a more meaningful way.
But while we are admiring these new BI tools and analytics features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.
‘With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making.’
Analytics and business intelligence (BI) tools provide many such options including:
Cross-Tab – Cross-tabulation analysis (or crosstabs), analyzes and categorizes data to reveal the relationship between two or more variables to help you make sense of survey results, reveal actionable tasks, find patterns and correlations. Cross-tab analytics can be used for categorical variables (with independent or dependent variables), for contingency tables, marginal totals, or conditional frequencies, and many other purposes.
Tabular – Tabular visualization facilitates quick comparison of data in a tabular form, marrying data classification with data presentation to reveal measures and averages in a structured format that is easy to manipulate, compare and understand. Tabular analytics can be used for statistical analysis or units of measure among other uses.
According to research at the University of North Carolina (UNC), cross-tab and tabular analytics account for 90% of the analytical techniques used in all research analysis.
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).
These foundational analytical visualization techniques are easy to understand and use and are suitable for business users and all team members. When you choose a Business Intelligence reporting tool that enables report, template and document design and configuration and supports preprinted fixed formats too. With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making. 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.
‘While we are admiring new BI tools, features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.’
To learn more about Traditional BI Tools And Visualization Techniques and the promise of augmented analytics and Advanced Reporting Tools, contact us now. Find out how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. 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.
Understanding the role of a Citizen Data Scientist and the opportunities provided by this approach is the first step in leveraging the Citizen Data Scientist approach. Engaging a vendor and choosing the right Augmented Analytics Business Intelligence tools, services, training and deployment will ensure success. The prospect of transforming business users into Citizen Data Scientists may seem daunting but, with the appropriate planning and support, and the appropriate Augmented Analytics solution, the initiative can be extremely successful.
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.
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.
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.
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:
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.
Select and implement an Augmented Analytics Solution with business intelligence (BI) and advanced capabilities and enjoy the benefits of advanced technologies like Artificial Intelligence (AI) And Low-Code, No-Code (LCNC) techniques to ensure affordable, flexible solutions that every user can leverage, no matter their skillset or technical capabilities. Read our free article, ‘The Benefits Of Low-Code No-Code in Augmented Analytics.’
Original Post : Why Choose Augmented Analytics with Low-Code, No-Code Development!
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.
Business Intelligence (BI) solutions have been around for some time. The traditional BI tools were designed to be used by the IT team, business analysts and data scientists and utilized sophisticated features which required specialized knowledge and skills possessed only by the technical and analytical community. In this environment, business users were consumers of content, and while they could access information from dashboards, reports and KPIs, they had very limited access to date and they could not interact with that data. Where users had access to data, BI objects, reports and dashboards were developed, provisioned and presented to them by the IT team, so the business user had no control over what they could see or the format of the data.
‘In the past, business users were restricted to analytical content provided by IT staff and Data Scientists with limited interaction and access to data’
Gartner predicted that ‘…smart/augmented, nonrelational-, search- and visual-based data discovery capabilities will converge into a single set of next generation data discovery capabilities as components of modern BI and analytics platforms.’
In line with Gartner predictions, the new world of Augmented Analytics and Modern BI solutions enables end-users and team members to access and use business intelligence (BI) to combine their industry and functional knowledge with clear, concise data. These new solutions are focused on business users, and on their empowerment, placing the power of true insight into the hands of business users and transitioning business users into Citizen Data Scientists. These solutions provide more value to the organization, improving technology Return on Investment (ROI), Total Cost of Ownership (TCO) and increasing efficiency with fact-based decisions. Modern BI and Augmented Analytics offers data integration and sophisticated analytical models and techniques in an easy-to-use interface that provides auto-suggestions and recommendations to speed the analytical process and ensure that users get what they need. It also provides report formats, publishing tools, alerts and analysis that can be shared by team members to encourage user adoption and collaboration.
As the needs of the average user evolve, most businesses find that a combination of traditional BI tools and Modern BI tools will best meet the needs of the team and ensure that every team member has the tools they need to get the job done.
Here are the primary features and functionality your business will need to capture Traditional Business Intelligence components and provide comprehensive coverage for your team. These solutions allow the IT staff to provide dashboards and reports for business user consumption and review:
Modern BI and Advanced Analytics – Augmented Analytics enables the transition from business user to Citizen Data Scientist and supports data democratization and data literacy, allowing Data Scientists to focus on strategy and business user access to analytics to perform day-to-day analytics.
‘As the needs of the average user evolve, most businesses find that a combination of traditional BI tools and Modern BI tools will best meet the needs of the team and ensure that every team member has the tools they need to get the job done.’
There are other many other features and components available to support users, IT, business analysts and data scientists in the traditional and modern analytics environment.
To find out more about Business Intelligence (BI) Solutions And Reporting, Contact Us. Discover the power of Augmented Analytics and see how your team can benefit from fact-based decisions, and cost-effective analytics and achieve a market advantage.
Statistics reveal that many people learn best when they see a story or information depicted in an image. Graphs, charts with colors, lines and shapes can often tell a story and communicate issues, challenges and opportunities in a business environment.
According to Forbes, ‘Almost eighty-thousand scientific studies attest that visual images promote retention.’
‘Visualization and presentation formats can include personalized dashboards and visualization techniques, alerts for exceptions and trends, and intuitive, mobile BI dashboards.’
Let’s consider a few examples of data presentation to illustrate how images, graphs, charts and visualization techniques can improve data understanding and retention.
Cross Tabulation – Data presentation consists of categorization of data into groups, such as products, geographies, demographics, etc. It can be very useful in understanding sales results, product pricing response, target audience assessment, etc. Cross tab analytics can help your team understand market research, survey responses, seasonality and other factors.
KPI Reports – Key Performance Indicators (AKA KPI) can provide metrics in a dashboard environment that is easy to understand, so users can monitor and manage success factors, and quickly see where there are problems. KPI reporting can be used to identify and capitalize on opportunities and to adjust to challenges in the market and within the walls of the organization.
Custom Print Presentations and Reports – Every organization has a need for custom reports. Needs vary from division to department to user, and these needs can be expensive to accommodate. Custom reports to present data for decision-making, or to monitor results on an ongoing basis are crucial to the organization. But if the enterprise has to ask IT or business analysts or data scientists to satisfy the need, they are losing productivity, time and efficiency. By giving users the ability to design, format and product reports for a particular staff meeting or project, the enterprise can keep the process moving and ensure that the team has what they need to gather, analyze and understand results in a meaningful way. Custom formats might include customer statements, management reports, compliance reports, project templates, etc. Users can present data in a clean, colorful, attractive way to satisfy customers, partners, suppliers, executives and team members.
‘According to Forbes, ‘Almost eighty-thousand scientific studies attest that visual images promote retention.’
These are just a few examples of reporting formats and types, and how they might help your enterprise. Other types of visualization and presentation formats can include personalized dashboards and visualization techniques, alerts for exceptions and trends, and intuitive, mobile BI dashboards.
Team members, managers and executives typically think of reporting and presentation as boring, detailed and unintelligible. They rarely see the value in using data to make decisions when, in fact, this approach is the wisest and produces the best results. But it is understandable that the staff, customers, partners and suppliers would cringe when a report is placed in front of them, emailed to them or presented on a screen.
What if you could create, format, present and share data in a way that quickly communicated results, delivered a message, identified an issue or illustrate dan opportunity? Change the way your enterprise uses and interacts with data, with clean, clear, concise, elegant and colorful presentation.
Explore the benefits of Smarten Reports, and Pixel Perfect Print Reports and the use of this this seamless PDF Pixel Perfect Reports Solution, and the Smarten suite of Augmented Analytics can support your business users with self-serve tools that are intuitive and will encourage user adoption and fact-based decision-making.
Original Post : How Can Data Visualization Help Me Achieve Business Results?
There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data. These enterprises will typically focus on building a team of data scientists or business analysts to help with this task OR they might take on an augmented analytics initiative to provide access to data and analytics for their business users. This is where businesses will often face a second issue; namely that the analytics solution they choose is not designed to easily and quickly provide insight into data and to ensure data quality.
