SlideShare a Scribd company logo
1 of 3
Download to read offline
Use Case
© Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.01
5 Real-World Use Cases for
New Relic Insights
As the gatekeeper to a company’s application data, developers
are both in a position of power and in a position of being stretched
incredibly thin. The developer holds the answers to all of the
business team’s most burning questions, whether it’s about
the effectiveness of the Marketing team’s latest lead-gen campaign,
or understanding how the Customer Success team can resolve
support tickets faster and more effectively.
Questions are flying constantly. And while you, the dedicated
developer, of course want to help out your co-workers, you also
have your real job, which is to build, maintain, and optimize the
company’s core software products. You don’t have time to set up
nightly jobs that run ad hoc analytics queries for hours against
the production database, only to find out in the morning that you
got the query wrong. What you really need is a tool that lets
you (and them) run analytics queries on the fly; something that lets
you ask your software questions and get answers in real time.
New Relic Insights, available in beta, and free for a limited time,
is a cloud-based, real-time analytics platform that empowers
developers and business users to interact with data like never
before. The following five use cases will show you exactly how.
Marketing
The likely scenario
Your Marketing team ran five different promotions to drive adoption
of your software product over the last two days. The marketing
manager now wants to know how well each promotion did and what
the appropriate next steps should be.
The person the marketing manager will ask for help
You, the developer, of course!
The questions your marketing manager will ask you
Which of the five promotions were most effective in driving
adoption of the product?
A Real-Time Analytics Platform Like No Other
With New Relic Insights, you automatically start collecting
billions of valuable page view and transaction-related events
straight out of the box. That’s all thanks to a unique real-time
analytics platform that:
Collects data via intelligent agents directly from your software
Stores volumes of data (trillions of events) without
requiring you to lift a finger
Presents your data in easy-to-understand charts and graphs
You can easily add more types of data – data specific to your
software and business – to get deeper, more actionable insights
about your software, customers, and business. It’s as easy as
adding one line of code to your software for each new type of data
you want to collect. We call this data a custom attribute and
below is an example of how you would add a custom attribute
to your Java application.
•
•
•
•
5 Real-World Use Cases for New Relic Insights
© Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.02
Did a particular promotion cause a specific feature to be
used more?
Who is using this new feature more – existing
or new customers?
Do customers who use this new feature belong to a certain
industry or company size?
The data that holds the answers
Promotion codes
Feature names
Customer ID
Customer created date
Customer company size
Customer industry
By adding the above custom attributes into your application code,
you can now instantly pull up a dashboard that gives the Marketing
team the answers they’re looking for. The marketing manager can
learn, for example, that a specific promotion caused new customers
in the financial industry to pick up a particular feature more than
your existing customers, and can then put together a plan to better
encourage adoption of the feature among existing customers.
Sales
The likely scenario
One of the company’s sales superheroes has a prospect
participating in a free trial, and she wants to do everything she
can to win their business.
The person the salesperson will ask for help
That wicked smart developer guy on the 12th floor
The questions the salesperson will ask you
Who is actively using the product during the trial – users or
decision makers?
Are they using the product’s most valuable features?
Are they having any problems with the product (e.g. poor
response time, errors)?
How many times and for how long are they using the product
per day?
The data that holds the answers
Customer name
Customer email
Feature name
Session duration
Performance data (comes out of the box)
With these custom attributes, you can empower the sales team
with a dashboard that allows them to be proactive throughout
the buying cycle. The sales superhero can constantly keep an eye
on the prospect’s free trial status and ensure they’re getting the
best experience possible to close the deal. If the trial’s not going
so great, she can save it by proactively contacting the prospect
to help them with any problems or concerns.
Customer Success
The likely scenario
As your customer success manager likes to remind everyone,
“Happy customers are the best customers.” He wants you to help
him track customer engagement and happiness with the click
of a mouse. That way, the next time a customer support call
comes in, he’ll already know what it’s about.
The person the customer success manager will
ask for help
Gee, I wonder who...?
The questions the customer success manager will ask you
Who are our top customers by revenue?
How often and for how long are they using the product?
Within our top customers, are there specific users who are
having a poor experience?
If so, who are they and how do I contact them?
The data that holds the answers
Revenue
Feature name
Session duration
Customer name
Customer email
Performance data (comes out of the box)
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
5 Real-World Use Cases for New Relic Insights
© Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.03
The key to providing excellent customer support is to stay one
step ahead and anticipate what a customer may want or need.
This is especially important when engaging with your most
valuable customers. Using custom attributes like revenue and
feature name, you can create a dashboard of key performance
indicators that the Customer Success team can use to better serve
your top customers, and be proactive in keeping them happy.
Product Management
The likely scenario
Last week, your product management team launched a new
feature and they want to know who’s using it and who’s
not. The product manager wants to understand why certain
customers aren’t using the feature, and how they can partner
with the Customer Success or Sales teams to get them on board.
The person the product manager will ask for help
Ding-ding-ding! His pal in engineering.
The questions the product manager will ask you
Who is adopting the new feature?
Have they only used it once or have they been using it regularly?
Do adoption rates differ by gender, age group, or geography?
How is the feature performing?
The data that holds the answers
Feature name
Customer/user ID
Gender
Age
Geography (comes out of the box)
Performance data (comes out of the box)
With New Relic Insights, you can easily offer the product manager
a wealth of information about the new feature’s usage and adoption.
If, for example, the dashboard you created shows that only 20% of
females in San Francisco adopted the feature, the product manager
may consider changing the branding or UI to better appeal to that
demographic. If adoption is low across the board, he then might
decide if it’s worth spending more time to refine the feature.
Executive Team
The likely scenario
Your CEO has come to you with what initially seemed like a
harmless question. But lo and behold, what began as a simple
request for information has turned into a flurry of follow-up
questions to get data sets she needs for the big board meeting.
The person the CEO will ask for help
The MVP of the company (the developer, duh)
	
The questions the CEO will ask you
Can I just get this one number?
Actually, can I get a breakdown of this metric on a month-by-
month basis?
How does that breakdown compare to last year’s numbers?
And by the way, can you give me an ETA for when that new
feature is shipping?
The data that holds the answers
Revenue
User demographics
Feature names
Product names
Promotion codes
Partner IDs
Session duration
And everything else you can think of
To get ahead of the CEO’s curveball questions, you have to collect
as much of the relevant data as you can, and assume their series
of questions will iterate and evolve over time. You never know
when or what the executive team will ask, so the more you track
now, the better prepared you’ll be in the future.
Be Prepared with New Relic Insights
The five use cases above are just the beginning. Create your own
unique use cases for New Relic Insights, available in beta, and free
for a limited time. Start making better business decisions today.
Visit www.newrelic.com/insights.
Or check out the New Relic Insights community forum to engage
with other beta users.
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•

More Related Content

More from New Relic

FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖をFutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖をNew Relic
 
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...New Relic
 
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏New Relic
 
Three Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid ThemThree Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid ThemNew Relic
 
Intro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes MonitoringIntro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes MonitoringNew Relic
 
FS18 Chicago Keynote
FS18 Chicago Keynote FS18 Chicago Keynote
FS18 Chicago Keynote New Relic
 
10 Things You Can Do With New Relic - Number 9 Will Shock You
10 Things You Can Do With New Relic - Number 9 Will Shock You10 Things You Can Do With New Relic - Number 9 Will Shock You
10 Things You Can Do With New Relic - Number 9 Will Shock YouNew Relic
 
Ground Rules for Code Reviews
Ground Rules for Code ReviewsGround Rules for Code Reviews
Ground Rules for Code ReviewsNew Relic
 
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...New Relic
 
Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic	Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic New Relic
 
Host for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost OptimizationHost for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost OptimizationNew Relic
 
New Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWSNew Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWSNew Relic
 
Best Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code PipelineBest Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code PipelineNew Relic
 
Top Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with MonitoringTop Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with MonitoringNew Relic
 
Kubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for MonitoringKubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for MonitoringNew Relic
 
re:Thinking the Cloud
re:Thinking the Cloudre:Thinking the Cloud
re:Thinking the CloudNew Relic
 
Our Evolution to GraphQL: Unifying our API Strategy
Our Evolution to GraphQL: Unifying our API StrategyOur Evolution to GraphQL: Unifying our API Strategy
Our Evolution to GraphQL: Unifying our API StrategyNew Relic
 
Kick Ass Data Exploration through Dashboards
Kick Ass Data Exploration through DashboardsKick Ass Data Exploration through Dashboards
Kick Ass Data Exploration through DashboardsNew Relic
 
DevOps without Measurement is a Fail
DevOps without Measurement is a FailDevOps without Measurement is a Fail
DevOps without Measurement is a FailNew Relic
 

More from New Relic (20)

FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖をFutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
 
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
 
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
 
Three Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid ThemThree Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid Them
 
Intro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes MonitoringIntro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes Monitoring
 
FS18 Chicago Keynote
FS18 Chicago Keynote FS18 Chicago Keynote
FS18 Chicago Keynote
 
SRE-iously
SRE-iouslySRE-iously
SRE-iously
 
10 Things You Can Do With New Relic - Number 9 Will Shock You
10 Things You Can Do With New Relic - Number 9 Will Shock You10 Things You Can Do With New Relic - Number 9 Will Shock You
10 Things You Can Do With New Relic - Number 9 Will Shock You
 
Ground Rules for Code Reviews
Ground Rules for Code ReviewsGround Rules for Code Reviews
Ground Rules for Code Reviews
 
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
 
Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic	Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic
 
Host for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost OptimizationHost for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost Optimization
 
New Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWSNew Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWS
 
Best Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code PipelineBest Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code Pipeline
 
Top Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with MonitoringTop Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with Monitoring
 
Kubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for MonitoringKubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for Monitoring
 
re:Thinking the Cloud
re:Thinking the Cloudre:Thinking the Cloud
re:Thinking the Cloud
 
Our Evolution to GraphQL: Unifying our API Strategy
Our Evolution to GraphQL: Unifying our API StrategyOur Evolution to GraphQL: Unifying our API Strategy
Our Evolution to GraphQL: Unifying our API Strategy
 
Kick Ass Data Exploration through Dashboards
Kick Ass Data Exploration through DashboardsKick Ass Data Exploration through Dashboards
Kick Ass Data Exploration through Dashboards
 
DevOps without Measurement is a Fail
DevOps without Measurement is a FailDevOps without Measurement is a Fail
DevOps without Measurement is a Fail
 

Recently uploaded

"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 

Recently uploaded (20)

DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 

5 Real World Use Cases for New Relic Insights

  • 1. Use Case © Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.01 5 Real-World Use Cases for New Relic Insights As the gatekeeper to a company’s application data, developers are both in a position of power and in a position of being stretched incredibly thin. The developer holds the answers to all of the business team’s most burning questions, whether it’s about the effectiveness of the Marketing team’s latest lead-gen campaign, or understanding how the Customer Success team can resolve support tickets faster and more effectively. Questions are flying constantly. And while you, the dedicated developer, of course want to help out your co-workers, you also have your real job, which is to build, maintain, and optimize the company’s core software products. You don’t have time to set up nightly jobs that run ad hoc analytics queries for hours against the production database, only to find out in the morning that you got the query wrong. What you really need is a tool that lets you (and them) run analytics queries on the fly; something that lets you ask your software questions and get answers in real time. New Relic Insights, available in beta, and free for a limited time, is a cloud-based, real-time analytics platform that empowers developers and business users to interact with data like never before. The following five use cases will show you exactly how. Marketing The likely scenario Your Marketing team ran five different promotions to drive adoption of your software product over the last two days. The marketing manager now wants to know how well each promotion did and what the appropriate next steps should be. The person the marketing manager will ask for help You, the developer, of course! The questions your marketing manager will ask you Which of the five promotions were most effective in driving adoption of the product? A Real-Time Analytics Platform Like No Other With New Relic Insights, you automatically start collecting billions of valuable page view and transaction-related events straight out of the box. That’s all thanks to a unique real-time analytics platform that: Collects data via intelligent agents directly from your software Stores volumes of data (trillions of events) without requiring you to lift a finger Presents your data in easy-to-understand charts and graphs You can easily add more types of data – data specific to your software and business – to get deeper, more actionable insights about your software, customers, and business. It’s as easy as adding one line of code to your software for each new type of data you want to collect. We call this data a custom attribute and below is an example of how you would add a custom attribute to your Java application. • • • •
  • 2. 5 Real-World Use Cases for New Relic Insights © Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.02 Did a particular promotion cause a specific feature to be used more? Who is using this new feature more – existing or new customers? Do customers who use this new feature belong to a certain industry or company size? The data that holds the answers Promotion codes Feature names Customer ID Customer created date Customer company size Customer industry By adding the above custom attributes into your application code, you can now instantly pull up a dashboard that gives the Marketing team the answers they’re looking for. The marketing manager can learn, for example, that a specific promotion caused new customers in the financial industry to pick up a particular feature more than your existing customers, and can then put together a plan to better encourage adoption of the feature among existing customers. Sales The likely scenario One of the company’s sales superheroes has a prospect participating in a free trial, and she wants to do everything she can to win their business. The person the salesperson will ask for help That wicked smart developer guy on the 12th floor The questions the salesperson will ask you Who is actively using the product during the trial – users or decision makers? Are they using the product’s most valuable features? Are they having any problems with the product (e.g. poor response time, errors)? How many times and for how long are they using the product per day? The data that holds the answers Customer name Customer email Feature name Session duration Performance data (comes out of the box) With these custom attributes, you can empower the sales team with a dashboard that allows them to be proactive throughout the buying cycle. The sales superhero can constantly keep an eye on the prospect’s free trial status and ensure they’re getting the best experience possible to close the deal. If the trial’s not going so great, she can save it by proactively contacting the prospect to help them with any problems or concerns. Customer Success The likely scenario As your customer success manager likes to remind everyone, “Happy customers are the best customers.” He wants you to help him track customer engagement and happiness with the click of a mouse. That way, the next time a customer support call comes in, he’ll already know what it’s about. The person the customer success manager will ask for help Gee, I wonder who...? The questions the customer success manager will ask you Who are our top customers by revenue? How often and for how long are they using the product? Within our top customers, are there specific users who are having a poor experience? If so, who are they and how do I contact them? The data that holds the answers Revenue Feature name Session duration Customer name Customer email Performance data (comes out of the box) • • • • • • • • • • • • • • • • • • • • • • • • • • • •
  • 3. 5 Real-World Use Cases for New Relic Insights © Copyright 2014, New Relic, Inc. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies.03 The key to providing excellent customer support is to stay one step ahead and anticipate what a customer may want or need. This is especially important when engaging with your most valuable customers. Using custom attributes like revenue and feature name, you can create a dashboard of key performance indicators that the Customer Success team can use to better serve your top customers, and be proactive in keeping them happy. Product Management The likely scenario Last week, your product management team launched a new feature and they want to know who’s using it and who’s not. The product manager wants to understand why certain customers aren’t using the feature, and how they can partner with the Customer Success or Sales teams to get them on board. The person the product manager will ask for help Ding-ding-ding! His pal in engineering. The questions the product manager will ask you Who is adopting the new feature? Have they only used it once or have they been using it regularly? Do adoption rates differ by gender, age group, or geography? How is the feature performing? The data that holds the answers Feature name Customer/user ID Gender Age Geography (comes out of the box) Performance data (comes out of the box) With New Relic Insights, you can easily offer the product manager a wealth of information about the new feature’s usage and adoption. If, for example, the dashboard you created shows that only 20% of females in San Francisco adopted the feature, the product manager may consider changing the branding or UI to better appeal to that demographic. If adoption is low across the board, he then might decide if it’s worth spending more time to refine the feature. Executive Team The likely scenario Your CEO has come to you with what initially seemed like a harmless question. But lo and behold, what began as a simple request for information has turned into a flurry of follow-up questions to get data sets she needs for the big board meeting. The person the CEO will ask for help The MVP of the company (the developer, duh) The questions the CEO will ask you Can I just get this one number? Actually, can I get a breakdown of this metric on a month-by- month basis? How does that breakdown compare to last year’s numbers? And by the way, can you give me an ETA for when that new feature is shipping? The data that holds the answers Revenue User demographics Feature names Product names Promotion codes Partner IDs Session duration And everything else you can think of To get ahead of the CEO’s curveball questions, you have to collect as much of the relevant data as you can, and assume their series of questions will iterate and evolve over time. You never know when or what the executive team will ask, so the more you track now, the better prepared you’ll be in the future. Be Prepared with New Relic Insights The five use cases above are just the beginning. Create your own unique use cases for New Relic Insights, available in beta, and free for a limited time. Start making better business decisions today. Visit www.newrelic.com/insights. Or check out the New Relic Insights community forum to engage with other beta users. • • • • • • • • • • • • • • • • • • • • • •