Case Study : Augmented Analytics Solution for India State Government Citizen Centric Schemes

Augmented Analytics Solution for India State Government Citizen Centric Schemes

The Client is a state government with a population of approximately 30 million citizens, and an annual budget of $5 billion USD. This government agency focuses on implementing IT and e-governance initiatives to enhance citizen services and governance efficiency. By leveraging advanced technology, the agency aims to improve the quality of life for citizens and to streamline administrative processes across and throughout departments.

What’s the Value of Mobile Business Intelligence (BI)?

Mobile Business Intelligence (BI) IS Important to Your Team and Business Results

Why Mobile Business intelligence? Well, there are a lot of reasons:

  • Expand (or establish) data access to business users
  • Provide tools for use, no matter where the user may be (office, home, airport, client office, supplier location, etc.)
  • Ensure that the business makes fact-based decisions
  • Allow team members to transition to Citizen Data Scientists by providing analytical tools in an intuitive, easy-to-use environment
  • Benefit the business by ensuring that all team members have access to the same information
  • Take the guesswork and opinion out of decisions
  • Allow for improved productivity and collaboration by giving users information WHEN they need it

‘By giving the team members access to Mobile BI tools, you allow them to answer these questions and to work in hotels and airports, using crucial data for presentations, reports, etc.’

According to recent research, ‘Mobile BI Market Projected to Hit USD 61.15 Billion at a 23.14% CAGR by 2030 – Report by Market Research Future (MRFR).’

There is good reason for this forecast. Businesses, both local and global, are recognizing the value of gathering, integrating and organizing the value-added information within the organization and making it available to business users for analysis. The value of using your data to predict outcomes, plan for products and pricing, understand issues and challenges and identify and leverage opportunities cannot be overstated.

In the past, businesses often went with the voice of experience, or with opinion or guesswork to decide on issues, simply because the data they had was not easily analyzed or organized to produce information in a way that was clear and concise.

Today, this information can be integrated and organized and sophisticated tools and analytical techniques can be used to find and share information across the organization – and beyond. With Mobile Business Intelligence (BI) and self-serve BI tools, your business users can hold the power of large volumes of business data in their hands and see it in a way that is meaningful to them. They can use this data to make decisions that are right for the moment. Your team cannot always know in advance what questions will come up in a client meeting, or with a supplier, distributor, sales team or partner.

By giving the team members access to Mobile BI tools, you allow them to answer these questions and to work in hotels and airports, using crucial data for presentations, reports, etc.

Team members can create and view graphs, charts, and visualizations and use dashboards to gather and summarize the data they need. Key Performance Indicators (KPIs) help them to monitor and measure results, and users can interact with the system using simple Natural Language Processing (NLP) search analytics, much like the search process used in Google and other consumer apps.

Why Mobile Business intelligence?

There is no need for data scientist intervention or IT assistance. Everything the team needs is at their fingertips. Data is secured and available on Android and iOS devices, so your users have the flexibility to use whatever device they wish.

‘Provide tools for use, no matter where the user may be (office, home, airport, client office, supplier location, etc.)’

Explore the benefits of Mobile BI 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.

Android vs IOS: Selecting the Ideal Platform for Your Mobile App

Mobile applications make a significant part of a business in this digital world setup. The very first and most important decision is all about choosing the right platform: Android or iOS. Both of these platforms have their strengths and unique characteristics. This blog goes into detail on the principal aspects of Android and iOS to assist you in making decisions about the best platform for your mobile app.

Case Study : Augmented Analytics for India Construction and Infrastructure Development Company!

Augmented Analytics for India Construction and Infrastructure Development Company

The Client is an India-based construction and infrastructure development company, committed to delivering quality infrastructure for private, public, and government projects. With over fifty (50) years of accumulated knowledge and experience, the organization applies its extensive resources to ensure superior infrastructure solutions.

Choose the Right Mobile BI Solution for Your Business!

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.

Does Embedded BI Support User Decisions?

Where Does Embedded BI Fit in Business Decision-Making?

Recent research reveals five primary benefits for embedding business intelligence into popular business apps and software:

Should My Business Invest in Generative AI?

Can Generative AI (GenAI) Help My Business?

Whether you are in the business of technology, or an average citizen, there is no doubt you know about Artificial Intelligence (AI) and you have probably heard or read about the advances made in Generative AI (GenAI).

According to Gartner business surveys, GenAI has become one of the most adopted and deployed technologies, and it is either in use in many industries and businesses, or it is in the works.

As a senior manager in a software business, or a corporate CIO, a software engineer or a consumer, you are probably thinking about how you can use GenAI to make your product better, or your life simpler. If you ARE in the business of technology, you may already have started a GenAI project.

But, it may be wise to exercise some caution. You know the old adage, ‘just because you can, doesn’t mean you should?’ That certainly applies to GenAI.

Yes, this technology has advanced enough to offer some value in some instances, but it should not be widely adopted without understanding its current limitations. Don’t let the promise of GenAI blind you to the fact that it is not yet a mature technology and that it is not suitable for all applications.

Can Generative AI (GenAI) Help My Business?

Before you start your project, you should consider the following factors:

  • GenAI alone is not the magic potion many think it is. In fact, the best use of GenAI is as a component of a holistic landscape of technologies, which may or may not include other types of artificial intelligence (AI) techniques.
  • Business use cases are a wise addition to your strategic discussion. How and where will your business use GenAI and does the addition of this technology add value or provide competitive, productivity or collaborative improvements? Implementing GenAI just because it is cutting edge, does not add value to your organization.
  • The cost of implementing these new technologies must be considered. That consideration should include the estimated useful life of the investment and its return to the organization.
  • For some tasks like content summarization for presentations or reports, or routine content creation, standard product descriptions, etc., GenAI may be a welcome addition, and will provide productivity improvement for your team.
  • When considering the use of GenAI, it is important to understand how and when your team will use the capabilities and set reasonable expectations for its use. If and when you decide to implement GenAI, it is equally important to train and inform your team and help them understand what they can achieve with this technology. You must also ensure that the team understands what GenAI will NOT do for them. There is a lot of hype out there, and team members may think that GenAI is going to either a) replace their position, or b) give them back 50% of their time for other tasks. It is likely that neither of those scenarios will be true, so be sure your team understands the transition, what they can expect, and what you will expect of them.
  • Involving experienced team members in the AI process is imperative. You can’t ‘set and forget’ your tasks without risking incorrect output or issues that will affect customer satisfaction or put your business at risk. Consider how and when you will monitor and manage output and what human intervention is required for the use you have imagined in your use cases.
  • While we are on the subject of expectations, let’s remember that, while the future of GenAI is promising, the current state technology is not a boiler plate. It is not a one-size-fits-all solution that can be hurriedly put into place, nor will it solve all your problems.

There has been much marketing hype about GenAI, but at the end of the day, if your business is going to invest time and money in this technology, it must establish a reasonable strategic initiative with measurable metrics and risk assessment and management reviews.

Before your business tackles a GenAI investment project, and all the technology, cultural and management changes that it requires, ask yourself a) what problems does my business have and what are our most important priorities, b) Can GenAI realistically help our business solve or reduce these problems and c) how can I measure and manage this new approach to prove my theories?

As we have outlined in this article, it is important to recognize the limitations of the current Generative AI (GenAI) solutions, and develop a thorough and complete understanding of your prospective business use before making a decision to invest in and implement this type of solution in your organization. Contact Us to find out how we can help you plan and achieve your goals. Artificial Intelligence (AI) in AnalyticsArtificial Intelligence DevelopmentWhite Paper: What is AI and How Can It Help My Business? Explore our articles on AI: Generative AI, the Benefits and ApplicationsIdeas to Get You Started with Generative AIUnderstand AI, OpenAI and Chat GPT.

Skilled Airtable Low-Code and no-Code Developers Ensures Success

Hire Airtable Programmers for Seamless Low-Code, No-Code Development!

Gartner predicts that 90% of large organizations will adopt it in some form. Low-Code and No-Code are inherently important for Digital Transformation (Dx).