AgileBI
As a BI Practitioner
I want to understand what AgileBI is and how it differs to Agile
So that I know what approaches to use (and which approaches not to)
When deliverying new Data, Analytics or Content in an AgileBI you have the benfit of leveraging the majority of the Agile approaches that have been defined and refined over the many years the various Agile approaches have been around.
But some of these some of these Agile approaches need to be tailored when delivering Data, Analytics and Content. This is typically due to the complexity that comes with data we do not create or control. AgileBI delivery is different to the typical “APP” development where the developer has control of both the way data is captured and the way it is presented.
For example I have found that using three weeks as a sprint iteration is more effective than the standard two weeks.
The articles below provide more details on the differences and the recommended techniques for deliverying in an AgileBI way.
AgileBI Discipline
AgileBI Process
AgileBI Team Articles
ODE & 3CPO – Talking multiple languages
When we decided to start building ODE we knew a few things already. One of those things was that most of our customers already had data warehousing technology.
They had already invested in Microsoft, Oracle, IBM, SAS, Teradata, Informatica or any of the other raft of data warehouse repositories and ELT technologies that are abound in the market place.
We also knew that it would be a big decision on their part to throw out this technology and implement the technology we decided to pick to be able to use ODE and gain the AgileBI benefits that it provides.
ODE – The start of a journey
About two years ago we started a journey into the world of AgileBI. It all started out of frustration (as most journeys do), frustration about the magic sauce.
The magic sauce was the reason why one data warehouse project would be a raving success and the next a ‘meh’. It was often the reason that after delivering a raving success and then returning 12 months later I would find the data warehouse had become a ‘meh’. By that I mean not updated, not well managed and not delivering to the stakeholders expectations.
The little things I love about YellowfinBI #5
User Guide Videos! Typically I dislike youtube videos and prefer to follow the tutorials to get something done. But when I was using the Yellowfin Append Sub Query functionality in anger the other day I just couldn't get it to do what I wanted, even as I followed the...
The little things I love about YellowfinBI #4
Subqueries! Often you want to manipulate the data you are using to get a report just the way the user wants. And often this requires you to do sub queries on the data you are using (for me it was creating columns for my measures based on offset periods, so I could...
The little things I love about YellowfinBI #3
Up to date and easy to find documentation! One of the coolest things about Yellowfin is that they do releases every month which includes squashed bugs and a raft of smaller new features, as well as point releases every six months or so, that typically introduce major...
Introduction
As a Reader of this site
I want to understand what it is about
So that I know whether I should keep reading
The little things I love about YellowfinBI #2
Making the impact of editing the semantic layers visible. When you edit a semantic layer that is being used by users, there is a high chance that you are going to effect the Dashboards and Reports they are using. Why? Because you are changing the underlying layer that...
The little things I love about YellowfinBI #1
Additive and Semi Additive Measures! When creating measures in your semantic layer (called Views in Yellowfin, Universes in BO, Information Maps in SAS, RPD in OBIEE etc) its important to be able to define your measures as additive or semi additive to ensure they...
Yellowfin makes changing view names seamless
One of the frustrations I have with many BI products I have used is that they often state all their components are fully integrated. But when you go to use it in anger you find gaps that increase the effort required to do simple things. Often its around metadata...
Other Blogs from this category
ODE & 3CPO – Talking multiple languages
When we decided to start building ODE we knew a few things already. One of those things was that most of our customers already had data warehousing technology.
They had already invested in Microsoft, Oracle, IBM, SAS, Teradata, Informatica or any of the other raft of data warehouse repositories and ELT technologies that are abound in the market place.
We also knew that it would be a big decision on their part to throw out this technology and implement the technology we decided to pick to be able to use ODE and gain the AgileBI benefits that it provides.
ODE – The start of a journey
About two years ago we started a journey into the world of AgileBI. It all started out of frustration (as most journeys do), frustration about the magic sauce.
The magic sauce was the reason why one data warehouse project would be a raving success and the next a ‘meh’. It was often the reason that after delivering a raving success and then returning 12 months later I would find the data warehouse had become a ‘meh’. By that I mean not updated, not well managed and not delivering to the stakeholders expectations.
The little things I love about YellowfinBI #5
User Guide Videos! Typically I dislike youtube videos and prefer to follow the tutorials to get something done. But when I was using the Yellowfin Append Sub Query functionality in anger the other day I just couldn't get it to do what I wanted, even as I followed the...
The little things I love about YellowfinBI #4
Subqueries! Often you want to manipulate the data you are using to get a report just the way the user wants. And often this requires you to do sub queries on the data you are using (for me it was creating columns for my measures based on offset periods, so I could...
The little things I love about YellowfinBI #3
Up to date and easy to find documentation! One of the coolest things about Yellowfin is that they do releases every month which includes squashed bugs and a raft of smaller new features, as well as point releases every six months or so, that typically introduce major...
Introduction
As a Reader of this site
I want to understand what it is about
So that I know whether I should keep reading
The little things I love about YellowfinBI #2
Making the impact of editing the semantic layers visible. When you edit a semantic layer that is being used by users, there is a high chance that you are going to effect the Dashboards and Reports they are using. Why? Because you are changing the underlying layer that...
The little things I love about YellowfinBI #1
Additive and Semi Additive Measures! When creating measures in your semantic layer (called Views in Yellowfin, Universes in BO, Information Maps in SAS, RPD in OBIEE etc) its important to be able to define your measures as additive or semi additive to ensure they...
Yellowfin makes changing view names seamless
One of the frustrations I have with many BI products I have used is that they often state all their components are fully integrated. But when you go to use it in anger you find gaps that increase the effort required to do simple things. Often its around metadata...
Other Blogs from this category
ODE & 3CPO – Talking multiple languages
When we decided to start building ODE we knew a few things already. One of those things was that most of our customers already had data warehousing technology.
They had already invested in Microsoft, Oracle, IBM, SAS, Teradata, Informatica or any of the other raft of data warehouse repositories and ELT technologies that are abound in the market place.
We also knew that it would be a big decision on their part to throw out this technology and implement the technology we decided to pick to be able to use ODE and gain the AgileBI benefits that it provides.
ODE – The start of a journey
About two years ago we started a journey into the world of AgileBI. It all started out of frustration (as most journeys do), frustration about the magic sauce.
The magic sauce was the reason why one data warehouse project would be a raving success and the next a ‘meh’. It was often the reason that after delivering a raving success and then returning 12 months later I would find the data warehouse had become a ‘meh’. By that I mean not updated, not well managed and not delivering to the stakeholders expectations.
The little things I love about YellowfinBI #5
User Guide Videos! Typically I dislike youtube videos and prefer to follow the tutorials to get something done. But when I was using the Yellowfin Append Sub Query functionality in anger the other day I just couldn't get it to do what I wanted, even as I followed the...
The little things I love about YellowfinBI #4
Subqueries! Often you want to manipulate the data you are using to get a report just the way the user wants. And often this requires you to do sub queries on the data you are using (for me it was creating columns for my measures based on offset periods, so I could...
The little things I love about YellowfinBI #3
Up to date and easy to find documentation! One of the coolest things about Yellowfin is that they do releases every month which includes squashed bugs and a raft of smaller new features, as well as point releases every six months or so, that typically introduce major...
Introduction
As a Reader of this site
I want to understand what it is about
So that I know whether I should keep reading
The little things I love about YellowfinBI #2
Making the impact of editing the semantic layers visible. When you edit a semantic layer that is being used by users, there is a high chance that you are going to effect the Dashboards and Reports they are using. Why? Because you are changing the underlying layer that...
The little things I love about YellowfinBI #1
Additive and Semi Additive Measures! When creating measures in your semantic layer (called Views in Yellowfin, Universes in BO, Information Maps in SAS, RPD in OBIEE etc) its important to be able to define your measures as additive or semi additive to ensure they...
Yellowfin makes changing view names seamless
One of the frustrations I have with many BI products I have used is that they often state all their components are fully integrated. But when you go to use it in anger you find gaps that increase the effort required to do simple things. Often its around metadata...