Tag: Augmented Analytics Vendor

Choose Augmented Analytics Designed for Business Users!

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September 11, 2024

Avoid Complex Analytics Solutions (Your Users Will Hate)

When a business is considering a business intelligence or analytics solution, it is important to recognize that today’s solutions are very different than the solutions of the past. Not only do they include more analytical techniques and features, but they have come a long way in providing access to sophisticated analytics for the average enterprise team member.

Harvard Business Review Analytics Service reports that

a) businesses can substantially improve business performance by giving frontline workers modern self-service analytics tools to enable fast intelligent action and,

b) not all self-service analytics provide this effective approach.

Choose Augmented Analytics Designed for Business Users and Get the Most From Your Solution

The Harvard Business Review Analytics Service surveyed nearly 500 executives and found that they reported significant performance improvement when they empowered frontline workers with augmented analytics. More than one-third of those surveyed noted improvement in customer and employee engagement and in product and service quality.

While some businesses may still be using business intelligence and analytics that are designed for data scientists and IT professionals, most of those are actively working to upgrade and/or migrate to augmented analytics and solutions that are designed for self-serve business user access.

Here’s why:

  • Search-based, self-serve analytics provides swift access to data and familiar natural language processing (NLP) search capability so business users can ask a question, get an answer and drill down to discover the root cause of issues. There is no need for the user to wait for IT or a data scientist to produce a report. They can continue to work on a task or a problem with full insight into results, challenges and possibilities.
  • The enterprise can enable data democratization and data literacy across the business landscape, thereby ensuring that there is a rapid response to market and competitive changes and to changing customer buying behavior.
  • Business users can leverage their industry knowledge and functional skillset and combine data insight with experience to produce the best results.
  • Intuitive, easy-to-use solutions help to combat user resistance and ensure user adoption. While there are always cultural issues surrounding this type of adoption and the perceived changes in responsibilities, when business users see the value of having crucial information at their fingertips, the enterprise can ease the transition and ensure user adoption.
  • No matter the role of the user, the team can enjoy the benefits of augmented analytics and make the transition to Citizen Data Scientists to improve collaboration, data sharing and fact-based decision-making.
  • The business can understand quality and maintenance issues, refine customer targeting and marketing optimization, and make appropriate financial investments, and they can analyze trends and patterns and make forecasts and predictions.
  • When the enterprise adopts these tools and techniques, they allow Citizen Data Scientists to perform analytics on a day-to-day basis and, where appropriate to effectively interact with and collaborate with the IT team and data scientists to refine data and prepare it for more strategic initiatives, so there is a seamless handoff from the business user to the analytical community, when and as necessary.

When the business is ready to acquire augmented analytics or to upgrade from existing, more restrictive solutions designed for professional analytical resources, it is important to choose the right solution – one with sophisticated tools that are presented in an intuitive user interface with auto-suggestions and recommendations to assist business users, and ample personalization of dashboards and reports.

With the right IT consulting partner, you can select and implement an Augmented Analytics Solution with business intelligence (BI) and advanced capabilities, and ensure that every user can leverage these tools, no matter their skillset or technical capabilities. Explore our free white paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI Tools.’

Original Post: Choose Augmented Analytics Designed for Business Users!

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

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August 13, 2024

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!

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May 17, 2024

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).

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Give Your Users Mobile BI. They Will Love You!

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November 16, 2023

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!

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May 10, 2022

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!

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Gain Insight with Integrated Analytics for Tally Solutions!

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February 8, 2022

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.

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Assisted Predictive Modeling is Your Secret Weapon!

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January 18, 2022

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.

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

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September 8, 2021

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!

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July 1, 2021

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.

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Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs!

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June 30, 2021

The use of business intelligence and business analytics is growing in every industry, business function and in companies of every size. 48% of small and medium sized business CIOs responding to a Gartner survey revealed that business intelligence (BI), data and analytics is one of the technology areas that will have the largest amount of new or additional spending.

Continue reading “Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs!”