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).

White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists to improve results and team skills. Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

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.

AI In Analytics: Today and Tomorrow!

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Gartner recently estimated that the market for AI software will be nearly $134.8 billion, with the market growing by 31.1% in next several years. In a recent survey of C-suite executives, 80% of said they believe AI will transform their organizations, and 64% said it is the most transformational technology in a generation.

Case Study : Smarten Augmented Analytics Case Study- Pharmaceutical, Clinical Research and Innovation Company

Smarten Augmented Analytics Case Study- Pharmaceutical, Clinical Research and Innovation Company

The Client is a global business governed by a foundation whose mission is to have a meaningful social impact, both for patients and for a sustainable world. With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business.

Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Why Would I Want to be a Citizen Data Scientist?

What Does Becoming a Citizen Data Scientist Get Me?

When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.

Insight and Perspective: The Gifts of Augmented Analytics!

Augmented Analytics: Insight Comes from Perspective!

Perspective is everything. You can stare at numbers and columns all day and never see the one nugget of information that will give you insight and help you solve a problem or find that one opportunity to drive the business to the next level. When you and your business users can leverage augmented analytics tools, without worrying about complex algorithms or writing code or designing reports, you can find those elusive nuggets of information and use them to improve your business results.

Employ BI Tools and Augmented Analytics for Business Users!

Business Intelligence and Augmented Analytics Go Hand in Hand!

Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.

Augmented Analytics Solution: Pass or Fail?

Choose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.