AgileData Product

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Can we use an Information Product Canvas image to start the data design process?

Can completed Information Product Canvas image help with the initial design of the data environment to deliver that Information Product?

Overall the Disco outputs were not good enough to be used as a data design (not sure it ever will be perfect), so some more iteration to be done.

But the output it did generate was an encouraging start.

AgileData Feature #03 – Catalog Browse and Search

AgileData Product, Blog

Data Persona’s can use the Catalog to quickly search, find and access the Data Assets (Tiles) they need to complete a data task, such as supporting the development of Information Products or using the data for analysis.

Topic Tags and Dynamic Filtering allows Data Assets to be easily found using the Organisations business terminology.

With the Menu Anywhere capability they can drill out to any other screen in the AgileData App, retaining the context of the Tile, removing the need to go to the screen and manually searching for that Data Asset again.

Any time a data user performs a data task in the AgileData App, or an automated data task is executed on the AgileData Platform, the Catalog is automagically updated. The Catalog data is treated as a first class citizen, not as data exhaust.

The Catalog is part of a wider ensemble of features that let them search or browse to locate essential Data Assets quickly, view comprehensive details for each set of data, and track the flow of data similarly to parcel tracking.

AgileData Feature #02 – Single Sign-in

AgileData Product, Blog

With Single Sign-On (SSO), users gain streamlined access to the AgileData App, eliminating the need for repeatedly logging in and reducing friction in their data day.

This feature leverages Google Identity and Access Management (IAM) to provide seamless and secure authentication, ensuring that users can easily connect to the platform using their existing credentials.

AgileData’s SSO is not only secure but also scalable, designed to meet the needs of growing teams while maintaining the highest standards of data protection and access control.

5 core Data Collection Patterns

AgileData Product, Blog

At AgileData, delivering our Fractional Data Service has revealed the diverse challenges of integrating data from varied organisations, industries, and systems. To scale effectively, we’ve adopted five core data collection patterns based on our “Define it Once, Reuse it Often” (DORO) principle:

1. Push
2. Pull
3. Stream
4. Share
5. File Drop

These patterns are supported by a toolkit of tested technologies like Dataddo, Meltano, and Google services, allowing us to solve new data challenges quickly. Our approach ensures flexibility and scalability, always starting with the question: Push, Pull, Stream, Share, or File Drop?

AgileData Feature #01 – Marketplace

AgileData Product, Blog

Information Consumers can quickly search, find and access the Information Products they need to answer their business questions.

This feature enables Information Consumers to search and find all the available dashboards, reports and analytical models in the AgileData App, regardless of what third party Last Mile tool they are created in.

It also enables the Information Consumer to quickly open that report or dashboard directly from the Marketplace, when those reports are accessible by a web URL

2024 the year of the Intelligent Data Platform

AgileData Network, AgileData Product, Blog

AI was the buzzword for 2023 and it will continue to be the buzzword for 2024.

I have been thinking about our approach to AI in our product for a while and landed on 3 patterns that I use as a reference.

Ask AI
Assisted AI
Automated AI
Adopting these patterns moves a data platform from being a manual data platform, towards a data platform that can do some of the data work for you.

An Intelligent Data Platform.

The 3 patterns of AgileData AI

AgileData Network, AgileData Product, Blog

Having AI embedded in your product have become table stakes it seems.

I have been thinking about our approach to AI in our product for a while and landed on 3 patterns that I use as a reference.

Ask AI
Assisted AI
Automated AI

The magic of DocOps

AgileData DataOps, AgileData Product, Blog

TD:LR Patterns like DocOps provide massive value by increasing collaboration across team members and automating manual tasks. But it still requires a high level of technical skills to work in a DocOps way. For the...

Understanding Concepts, Details, and Events: The Fundamental Building Blocks of AgileData Design

AgileData Product, AgileData Way of Working, Blog

Reducing the complexity and effort to manage data is at the core of what we do. We love bringing magical UX to the data domain as we do this.

Every time we add a new capability or feature to the AgileData App or AgileData Platform, we think how could we just remove the need for a Data Magician to do that task at all?

That magic is not always possible in the first, or even the third iteration of those features.

Our AgileData App UX Capability Maturity Model helps us to keep that “magic sorting hat” goal at the top of our mind, every time we add a new thing.

This post outlines what that maturity model is and how we apply it.

AgileData App UX Capability Maturity Model

AgileData Product, Blog

Reducing the complexity and effort to manage data is at the core of what we do. We love bringing magical UX to the data domain as we do this.

Every time we add a new capability or feature to the AgileData App or AgileData Platform, we think how could we just remove the need for a Data Magician to do that task at all?

That magic is not always possible in the first, or even the third iteration of those features.

Our AgileData App UX Capability Maturity Model helps us to keep that “magic sorting hat” goal at the top of our mind, every time we add a new thing.

This post outlines what that maturity model is and how we apply it.

Fast Answers at Your Fingertips: Unveiling AgileData’s ‘Ask a Quick Question’ Feature

AgileData Product, Blog

Immerse yourself in the magical world of data with AgileData’s ‘Ask a Quick Question’ capability. Perfectly designed for data analysts and business analysts who need to swiftly extract insights from data, this capability facilitates quick data queries and rapid exploratory data analysis.

Amplifying Your Data’s Value with Business Context

AgileData Product, Blog

The AgileData Context feature enhances data understanding, facilitates effective decision-making, and preserves corporate knowledge by adding essential business context to data. This feature streamlines communication, improves data governance, and ultimately, maximises the value of your data, making it a powerful asset for your business.