Advanced Data Discovery for Every Skill and User

Augmented Analytics is the Key to User-Friendly Business Intelligence!

Augmented Analytics and augmented data discovery is a form of advanced data discovery that automates data insight using machine learning and natural language generation. It automates data preparation and makes it easy for business users to enjoy data sharing.

Advanced Analytics uses sophisticated techniques and algorithms in an automated environment to simplify the analytical process for the average business user, so users are presented with clear results to use in making decisions and analyzing problems. The augmented analytics approach provides better clarity and insight than the more traditional forms of analysis.

The world of data analytics is no longer restricted to IT, data scientists and analysts. If your business is going to be productive and successful it must allow business users to access intuitive tools with sophisticated features, so that the entire team can work from the same data and share that data in reports and graphics that will help he organization achieve its goals.

Advanced Analytics Tools allow the average business user to analyze and display results in a clear manner to make informed, unbiased decisions. Users can compare results against plans and forecasts, and explore and present data using data science modeling, algorithms and auto-suggested data displays, so the organization can build and sustain a competitive advantage. Augmented Analytics provides clear results in context so users can drill down to find the root cause of a problem and discover subtle patterns and trends that will help the business achieve its goals.

Comments

Why Do You Need Self-Serve Data Preparation?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization. Business users love Self-Serve Data Preparation because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists. Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-st...

Orchestrating Growth

The Interactive Symphony of Digital Transformation and Leadership In a world where candle makers evolved into bulb manufacturers and carriage-makers transformed into car producers, the relentless tide of digitization silently reshapes industries. We stand on the precipice of a transformative era, where technology intertwines with data, analytics, and robotic process automation. As the maestros of this digital symphony, Dataception explores the multifaceted forces driving innovation. Today, we embark on a journey through the realms of leadership, data-driven decision-making, and the creation of value. The Unseen Revolution: Digitization, like a silent revolution, reshapes structures imperceptibly. Comparable to the transition from candles to bulbs, this shift is profound, often escaping immediate notice. In this transformative era, technology is not merely a tool but the very medium through which industries communicate, evolve, and thrive. The Evolution of Demand: ...

Evaluating Enterprise Data Literacy

Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Gartner defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the use case, application and resulting value.” According to the Gartner Annual Chief Data Officer (CDO) Survey, an absence of Data Literacy is the primary reason behind CDOs’ inadequate performance. To combat this, more and more enterprises are engaging in “competency development in the field of Data Literacy.” In a digital culture, the goal is to make data accessible and available to all employees – not just to data scientists, analysts, or CDOs. Right now, most business executives realize that all employees need to “communicate in a common data language,” but data regulations, and privacy and security policies are ...

Dataception

Search This Blog