Case Study : Augmented Analytics Solution for India Powertrain and Sustainable Solutions Engineering Company!

Augmented Analytics Solution for India Powertrain and Sustainable Solutions Engineering Company

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.

Case Study : Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider!

Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider

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.

Why Choose Augmented Analytics with Low-Code, No-Code Development

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.
Augmented Analytics with Low-Code, No-Code Development Provides Performance and Adaptability

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.

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!

Low-Code/No-Code Analytics Design Engenders Solution Agility!

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.

How Can Data Visualization Help Me Achieve Business Results?

Reporting and Data Visualization Improves Team Understanding!

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.

How Can Data Visualization Help Me Achieve Business Results?

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?

Augmented Analytics Must Provide Data Quality and Insight!

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics?

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.

Understanding BI Tools in Today’s Market

How Do We Define Business Intelligence Today?

Business Intelligence (BI) is the lifeblood of an organization. Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition.

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

Self-Serve KPIs Allow Teams to Manage and Adapt!

BI Tools with Self-Serve Multidimensional KPIs Enable Agility and Accuracy!

Gartner research reveals that, ‘data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’ When  businesses adopt and embrace business intelligence and augmented analytics, the expectation is that the enterprise will benefit by improving data literacy as well as productivity.

But if your business wants to make the most out of BI tools and augmented analytics, it is important to choose the right solution; one that is easy to use and will provide clear results – results business users can leverage to make decisions and to plan accurately. To understand the results and whether policies, processes and tasks are effective, your organization must establish metrics, and those metrics must also be clear.

‘Key Performance Indicators (KPIs) are crucial to this feature set, as they provide critical metrics that enable the business to discover and manage results objectively and to adapt and change quickly and effectively.’

A solution that provides easy-to-use, multidimensional key performance indicators (KPIs) will allow your team to establish metrics that are unique to your needs and to your industry and market and help the enterprise understand how the business measures up in the competitive market, how well the products and services are faring with customers and whether workflow and business processes are having the desired effect.

Multidimensional KPIs Provide Easy-to-Use, Objective Metrics

Benefits of Self-Serve, Multidimensional Key Performance Indicators (KPIs)

  • When the organization gives business users the tools to establish and manage KPIs, it can become more productive. There is no waiting for the IT team or a data scientist to produce important reports, so the team can be agile and flexible.
  • Interactive KPIs provide tools to gather, analyze and measure with breakdown and dynamic frequency and slice and dice so users can focus on critical metrics and gain true insight into results. Users can leverage a powerful expression engine to set polarity, frequency and threshold levels in a browser-based interface and go beyond static monitoring to change frequencies, and dimension breakdowns and gain an understanding of performance and issues.
  • Users can establish and monitor KPIs at the individual, team, department, division, and company level and KPIs are integrated with other features to further analyze trends. Multidimensional KPIs gives business users the opportunity to monitor and manage results against goals and objectives and change processes, tasks, and activities as and when change is required.

‘When your business chooses a BI tool, it is important to choose the right solution; one that is easy to use and will provide clear results – results business users can leverage to make decisions and to plan accurately.’

If your business wishes to improve data literacy and productivity by implementing or upgrading a Business Intelligence or Augmented Analytics solution, it is imperative that you review the available modules, tools and features to ensure that the solution provides easy-to-use, sophisticated functionality that is suitable for your business users. Key Performance Indicators (KPIs) are crucial to this feature set, as they provide critical metrics that enable the business to discover and manage results objectively and to adapt and change quickly and effectively.

Choose a  Business Intelligence Reporting Solution that include Multi-Dimensional Key Performance Indicators (KPIs). Provide business intelligence that your IT team can easily implement and support, and a solution that business users will want to adopt. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : Multidimensional KPIs Provide Easy-to-Use, Objective Metrics!

Self-Serve Cross-Tab BI Tools Reveal Issues and Possibilities!

Self-Serve BI Tools with Cross-Tab Reporting Improve Clarity and Results!

If you are considering a Business Intelligence solution or BI tool, or if you wish to upgrade your business intelligence and reporting tools, look for a solution that has self-serve cross tabulation, or cross-tab reporting. Cross-Tab reporting reveals the relationship between two factors or targets. This analytical tool can be used for side-by-side comparisons and to compare results for one or more data points, variables, or targets.

Did you know that, by some estimates, data-driven businesses are nearly 25% more likely to acquire customers? If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!

‘Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions.’

In this article, we discuss the value of self-serve BI tools with Cross-Tab capabilities and the benefits of this type of focus and insight.

Cross-Tab Reporting Gives Business Users Insight Into Data

Benefits of Self-Serve Cross Tabulation Reporting

Flexible for Business Use Cases

Cross-tab reporting allows for intuitive use by business users with average technical skills, and can be beneficial for all types of business functions and industries. In an educational setting, a university or school might use cross-tab reporting to analyze teacher or course evaluations, looking at the relationship between student satisfaction and the subject, the class time, class location and other factors. Businesses can analyze team and employee satisfaction and attrition by looking at job location, benefits, the results of exit interviews, available training, and support, etc. Cross-tab reporting is frequently used in market research to analyze the various factors that relate to product or service satisfaction, including product features and options, where and how the product is sold, the sales and marketing approach, etc. A retail store owner might use cross-tab data analysis to determine customer satisfaction by looking at demographics, the gender of the person buying the product, the price of the product in a particular region, etc.

Data Clarity

There are many ways to slice and dice data and many ways in which crucial information can hide inside that data. The self-serve cross-tab reporting approach allows business users to examine relationships among data points and factors, with more clarity and accuracy. This type of analysis provides more clarity and reveals results, interdependent relationships and factors that might otherwise be missed. Users can avoid confusion when working with data and analyze large datasets to reveal frequencies and percentages. With this information, the business can understand the ‘what if’ of the various factors and see how results would change if one factor or relationship is changed.

Fact-Based Decision-Making

Self-serve cross-tab reporting simplifies analytics and allows business users to spot trends and patterns and collaborate with other team members to adapt tasks and activities to resolve issues and/or capitalize on opportunities. Using cross tabulation reporting to understand the connection and relationship between two or more factors allows the business to make a decision, with confidence. Rather than guessing the reason for declining results, increased employee attrition or other problems, the enterprise can clearly see what factors (and the relationships among factors) are the cause of a problem and how to change those factors to get better results.

‘If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!’

Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions. By giving your team members these tools, you can leverage domain and industry knowledge and combine data analytics in a day-to-day environment without the need for assistance from data scientists or the IT staff. Self-Serve Cross-Tab reporting produces clear results that are easy to understand and can be used in staff meetings and presentations to support recommendations and help the business become more agile.

Look for seamless Business Intelligence Reporting And Flexible Tools that include self-serve Cross-Tab reporting. Provide business intelligence that your IT team can easily implement and support, and a solution that business users will want to adopt. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : Cross-Tab Reporting Gives Business Users Insight Into Data!

Business Users Love Simple (Yet Sophisticated) BI Tools!

If You Want Business Users to Embrace BI Tools, You Need to Focus on Simplicity!

If your enterprise has not already adopted business intelligence tools, it is missing a crucial benefit in competitive positioning and accurate, dependable decision-making. If your organization has implemented BI tools, but you are falling short on user adoption success, return on investment (ROI) and total cost of ownership (TCO), it is probably because the business intelligence solution is not meant to support business users.

PC Magazine says that, as business users are asked to leverage BI tools, the enterprise must focus on simplicity to engender user adoption.

‘When your team can access BI tools that support the way they work and provide meaningful views and features to easily integrate with work and business processes, user adoption is easier and more immediate.’

To achieve your enterprise goals, ensure user adoption and get the most out of your investment, you must focus on two things: user-friendly features and function and sophisticated analytics.

BI Tool User Adoption Depends on Simplicity!

In this article, we list some of the considerations for business intelligence solution selection or product upgrade. This list is meant to help you assess your current solution, and/or review the capabilities of any BI tool you are considering.

Simplicity in Technology:

  • 100% browser-based solution
  • Intuitive interface
  • Mobile application that is suitable for iOS and Android
  • Simple, affordable licensing
  • Rapid implementation (roll out in minutes, not months)
  • Simple, multi-layered access and user rights management
  • Simple architecture

Simplicity of Use:

  • Ability to personalize dashboards
  • KPI Reporting
  • Easy-to-use reporting tools
  • Collaborative features
  • Social BI for sharing, ranking and commenting
  • Smart Data Visualization
  • Assisted Predictive Modeling
  • Self-Serve Data Preparation
  • Clickless analytics for easy searching and results

The business intelligence tools you select can and should include out-of-the-box, ready-to-use features that are designed to support your applications, your industry, and/or your business function. When your team can access BI tools that support the way they work and provide meaningful views and features to easily integrate with work and business processes, user adoption is easier and more immediate.

‘To achieve your enterprise goals, ensure user adoption and get the most out of your investment, you must focus on two things: user-friendly features and function and sophisticated analytics.’

Look for Ready-To-Use Tools that users will want to adopt. Provide business intelligence that your IT team can easily implement and support, with features your users will readily leverage. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : BI Tool User Adoption Depends on Simplicity!