Data analytics Business Name Generator
Generate names for your data analytics business below.
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Ashley S.
Branding & Marketing Specialist
Article Contents
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How to Name your Business
5-Tips for Naming your Business
Business Name Ideas
How to name your data analytics business
Hey, I’m Ashley (Branding Expert) and I’m going to guide you through our four steps to name your data analytics business. Below you’ll find twenty example names I created in this process and next, I’ll show you how you can create your own. To get started, try our data analytics business name generator above and then scroll below to find the first step in the naming process.
- The Data Strategy
- Real Growth Data
- Data Deeds
- The Insight Co.
- Buildlytics
- Growth Analytics
- Resulytics
- Analytical Resolutions
- Pure Data
- Datafly
- Strategic Analytics
- Data Boost
- Juicy Insights
- Data Protect
- DataArmour
- Raw Data Readers
- Data Exposer
- Data Worthy
- Read.Learn.Grow
- The Data Factory
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#1) Brainstorm your name ideas
Brainstorming on the words you want to use to represent your data analytics business is very important because this is the first impression your business makes on your target audience. I used words like pure, growth and strategic to represent a target oriented and correct analytics. Your goal here is to create a list of words or names that come to mind when thinking about your business.
If you’re stuck on words to use, try our business name generator.
Here are my name ideas after brainstorming:
#2) Shortlist your ideas
Once you’ve developed a list of possible names, do an analysis of your ideas. Remove any names that could be hard to remember, spell or speak aloud. Keep names that are brandable, sound great, are memorable and communicate your brand values, product or service to your target audience.
Here’s a quick checklist you can run your ideas through to help shorten your list of name:
- Is the name simple and easy to remember?
- Is the name easy to read and say aloud?
- Is the name different from competitors?
- Does the name convey a relevant meaning?
- Does the name avoid overused words or cliches?
My Shortlist:
Removed Ideas:
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#3) Get some feedback
You’ll now have a list of 3-6 great data analytics business names and you can start to ask potential customers or people working in the industry for feedback (your target audience). Avoid feedback from family and friends, are more likely to praise all your ideas and they aren’t your customer.
Be sure to ask questions like:
- What first comes to mind when you first hear the name?
- How would you spell it?
With you’re customer feedback you can now ask yourself is the name still relevant? and did it represent your business how you intended?
My customer feedback:
This sounds like a more complex type of data analytics.
This sounds like a progressive data resource.
This sounds like a company that uses data to give advice.
This sounds like a business that deals strictly with data analytics.
#4) Check if it’s available
At this point, it’s good to have at least three great data analytics business names on your list, in case your any of your names are already taken. You can do a quick Business Name Search online to find out if you’re name is available within your country/state, also be sure to search if the name is also available for Trademark and Domain name Registration.
Check Domain Availability
Competitor Name Analysis
To help you brainstorm potential business names, let’s take a look at three successful data analytics businesses and break down why and how they’ve chosen to name their business and why it works for them.
Mu Sigma is an analytical company that comes off as both a brandable name and a meaningful word. Sigma is closely related to numbers so it passes the message while still being catchy.
Absolutdata represents a correct and detailed set of data and this helps market their business and creates the right idea in people’s mind.
Domo Is a unique, brandable name that’s also means “Very” in Japanese, despite being a American founded and based company. It’s a word that also rhymes with “Data” which makes the name catchy and memorable.
1. Do a Competitor Analysis
Doing a competitor analysis as your first step will save you a lot of time in the future, knowing what names to avoid and understanding why and how your competitors business name words for them will help you in forming your own business names. When analyzing competitors think about:
- What business or product values are they conveying in their business name? How does that work for them?
- Is there a trend in how these businesses are naming themselves? It’s best to avoid sounding like “just another one of those businesses”.
- Who does it best? Why does it work and how can I produce a better name?
2. Focus on Naming your Business not Describing it.
Representing your business literally will make you open to some technical errors like the use of already overused like numeric, decimal and calculate. A more effective business name should convey to customers your businesses and product values at a deeper level. Try name your business in a way that has a story behind it.
Let’s take for example a real data analytics business named “openGeeksLab”.
Literally, this name is a real data analytics business name, and it uses the uncommon work “geek” to illustrate professionals who love data analytics without using the exact words.
3. How to make a more memorable name
Creating a memorable business name is the first step in getting into a customers mind and is also a task that’s easier said than done. Your business name should aim to stop a customer in their tracks and give an extra thought on your product among your wave of competitors. Some tips to create a memorable name would be:
- Use rhythmic pronunciation or alliteration (Data Deeds, Accurate Analytics)
- Try using a word that wouldn’t be relevant when out of context (Dedicated Digits: Dedicated means devoted to course but in this context, dedicated means a specific array of numbers)
- Keep it short and simple.
4. Try purchasing a Brandable business name
Brandable business names are names that are non-sensical but read and are pronounced well. They often use letter patterns of Vowel/Consonant/Vowel as these word structures are typically short, catchy and easy to say and remember. For example, some brandable data analytics business names could be:
- Buildlytics
- Noviana Analytics
- Datrise Data
You can find a full list of Brandable business names at Domainify.com
5. Avoid combining words just to create a unique name.
Another mistake business owners typically make is creating bad word combinations when they find out that their business name idea is already taken. For example, like changing Accurate Analytics to AccuAna.
You can see how these ideas are a step backward as they are not catchy, easily pronounceable or memorable. In these situations, we suggest starting from scratch and trying the tips we mentioned previously.
Don’t forget to use our Data Analytics Business Name Generator
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Words data analytics often describes
(“data analytics ______”)
You can use these words to create data analytics business names like ‘The Data Gathering Company’ and ‘Data Model Co’.
How data analytics is often described
(“______ data analytics”)
Example data analytics company names using these related descriptive words ‘Digital Data Reading’ and ‘Raw Data Analytics Co.’.
Data Analytics Adjectives
You can use an adjective in your business name to create a business name like ‘Available Data‘ or ‘The Digital Analytics Company‘.
Data analytics verbs
You can use a verb in your data analytics business name to create business names like ‘Data Delivered‘ or ‘Retrieve Data Analytics‘.
Combine words
We’ve taken words from above and from our generator results and combined the words to create new data analytics company names.
Data analytics related words in foreign languages
Consider using foreign words in your business name to give the impression of an international or exotic brand.
Latin for data: notitia
French for plan: planifier
Italian for quantify: quantificare
Spanish for results: resultados