The Benefits of Low-Code, No-Code in Augmented Analytics!

What Are the Advantages of Low-Code, No-Code Platform in Augmented Analytics Solutions?

According to some estimates, the rise of low-code, no-code and AI in analytics has increased access to augmented analytics to end-users by 36% to 56%. In fact, Gartner predicts that 75% of new global software solutions will incorporate a low-code approach.

In the analytics software market, the primary driver of this growth is the advent of solutions that can be quickly modified and upgraded to address new requirements and user needs. The creation of no-code and low-code apps allows for simple foundations and construction to analyze data without customization or programming or data science skills supports both developers, data scientists and power users of analytics by providing tools to simply and easily create complex components.

‘When considering an augmented analytics solution, prospective users should carefully review the foundation and technology of the analytical software. The incorporation of new technologies and capabilities will drive current and future user adoption and the successful implementation of analytics within the business user community.’

The organization can leverage and change data workflows, reports, dashboards and predictive models without extensive coding or time investment. While Low-Code development enables organizations to build apps with minimal coding, No-Code utilizes a suite of tools, scripts and components to allow swift construction of apps with very limited coding or user interface (UI) based configurations. Both of these approaches enable a development environment that is agile, and can quickly respond to the changing needs of users, customers and the organization.

With this approach, users enjoy access to data, models, charts, gauges, tables, and grids that satisfy their current needs, and these can be easily modified as the organization grows and changes, and the user requirements evolve.

The Low-Code, No-Code Approach to Augmented Analytics

There are numerous benefits and advantages to incorporating low-code, no-code into an analytical environment, and these benefits provide support for developers, data scientists and for power business users.

  • Supports Complex Data Extraction, Transformation and Loading (ETL) and Data Preparation Workflows Throughout the Data Pipeline
  • Enables Complex Data Transformation and Data Cleansing Functions
  • Offers Rapid Predictive Modeling Hypothesis and Prototyping
  • Allows Quick, Easy Construction of Custom Expressions
  • Enables User Adoption of Self-Serve Analytics and the Citizen Data Scientist Culture
  • Requires No Professional Programming or Scripting Experience – Power Users Can Perform Complex Tasks Without Assistance
  • Supports Data Democratization and Data Literacy
  • Allows for Rapid Development of Various Analytics Components e.g., Datasets, Dashboards, Rports and Models
  • Ensures Agility and Speed of Upgrades
  • Provides a Cost-Effective Solution with Personalization for Organizations
  • Offers Flexible Integration and Data Management
  • Reduces Cost
  • Improves Collaboration and Productivity
  • Improves Return on investment (ROI) and Total Cost of Ownership (TCO).

‘Gartner predicts that 75% of new global software solutions will incorporate a low-code approach.’

When considering an augmented analytics solution, prospective users should carefully review the foundation and technology of the analytical software. The incorporation of new technologies and capabilities will drive current and future user adoption and the successful implementation of analytics within the business user community. Technologies and techniques like low-code, no-code, artificial intelligence (AI), and embedded business intelligence (BI) to provide access to analytics from within enterprise applications, will support data democratization, data literacy and fact-based decision-making within the enterprise.

Smarten  Augmented Analytics with low-code, no-code technology will support your team with tools that are intuitive and easy to use and will encourage user adoption. Leverage the essential components of the Smarten Technology foundation, and improve decision-making and outcomes. Explore the potential and capabilities of the Smarten Cloud software-as-a-service (SaaS) product with its low-code, no-code foundation and seamless functionality.

Original Post : The Low-Code, No-Code Approach to Augmented Analytics!

Augmented Analytics Provides Benefits to Data Scientists!

When an enterprise undertakes an Augmented Analytics project, it is typically doing so because it wishes to initiate data democratization, improve data literacy among its team members and create Citizen Data Scientists. The organization looks for a solution that is easy enough for its business users and intuitive enough to produce clear results; one that also provides sophisticated functionality and features and will produce a suitable Return on Investment (ROI) and Total Cost of Ownership (TCO).

Give Your Users Mobile BI. They Will Love You!

Why Doesn’t Your Business Provide Mobile BI Access For Your Users?

You would think that businesses would understand the value of Mobile BI! After all, we are a mobile society. Today’s consumers and business users expect to have access to all of their tools, apps, software and websites on their mobile devices, and no matter what kind of device they have – iPad, tablet, Android smart phone, iPhone etc., they expect to have seamless performance. So, is it any wonder that businesses are facing the question of analytics on the go?

Gartner has predicted that, ‘overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’

‘Mobile BI can provide your business with the foundation to achieve your data democratization and user adoption goals.’

If your business users and Citizen Data Scientists have access to robust augmented analytics and traditional and modern BI within the walls of your enterprise, why don’t they access to these all-important tools when they are working remotely, in a client office, at an airport, on the road or working with a supplier or a partner? Consider the increased productivity and the improved workflow your team can achieve if you add Mobile BI. If you have invested in an analytics solution and you want to achieve the best return on investment (ROI) and the lowest total cost of ownership (TCO), you need to expand user access to a mobile environment.

If You Don’t Provide Mobile BI for Your Users, Why Not?

With the right Mobile BI solution your users can enjoy many benefits. When you consider a Mobile BI and augmented analytics solution, be sure your solution provides:

  • A native app, with seamless user interface for a great user experience (Ux) – compatible with iOS and Android
  • An extended office environment for swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server so security and privacy is ensured at all levels
  • Can be hosted anywhere within IT infrastructure –on premises, public or private cloud
  • Business Users have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available

‘Consider the increased productivity and the improved workflow your team can achieve if you add Mobile BI.’

Choose a  Business Intelligence reporting solution that promotes data literacy and provides BI tools 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. Mobile BI can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : If You Don’t Provide Mobile BI for Your Users, Why Not?

Prepare for Success with the Right BI Tools!

4 Things to Know to Prepare for BI Tools and Data Democratization!

The days of data silos and exclusive data access are over. Data Scientists and business analysts are still an important component of the business and IT teams are still crucial to the success and stability of the organization BUT if you are thinking that these roles are still responsible for day-to-day analytics and delivering every bit of data analysis to the enterprise, your business strategy needs an upgrade!

Gain Insight with Integrated Analytics for Tally Solutions!

Going Beyond the Numbers with SmartenApps for Tally!

The Tally® ERP Solution and its latest TallyPrime offering are popular accounting and finance related suite of modules that provides support for invoicing and accounting, inventory management, reports, credit and cash flow management, banking, cost control and analysis, payroll management and other finance-related activities.

Assisted Predictive Modeling is Your Secret Weapon!

Predictive Analytics That is Easy Enough for Any Business User!

Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring that they use the most appropriate algorithm for the data they wish to analyze.

Case Study : Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis

Case Study - smarten-integrates-r-scripting-gujarat-environment-management-institute-gemi-predictive-analysis

Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India. The Client team is engaged in assuring sustainable development, and provides research to measure and gauge the impact of various human, economic and industrial activities on the environment. GEMI is focused on developing standards for prevention of negative environmental impacts and performs lab testing on air, water, wastewater, microbiology and soil.

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Citizen Data Scientists Deliver Business Intelligence!

Why Should My Business Want Citizen Data Scientists?

These days, it seems that every conference I attend, there is a discussion about Citizen Data Scientists. For some of my colleagues, the discussion seems irrelevant or, in some cases, daunting. If you are hesitant to embrace this type of initiative in your business, here are a few Gartner predictions that might convince you to at least consider this crucial shift in business culture and data literacy.

You Can Have Advanced Analytics AND Augmented!

Shopping for Advanced Analytics? Get Self-Serve Augmented Analytics and Succeed!

There are a lot of business intelligence and analytical tools on the market today and if your business has recognized the need to implement this type of solution for self-serve analytics among business users, it is important to understand the advantages of augmented analytics. Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills. That ease-of-use takes advanced analytics advantages to the next level by democratizing use and allowing for digital transformation and increased data literacy across the enterprise.