Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How To Become A Data-Driven Company
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > How To Become A Data-Driven Company
AnalyticsBig Data

How To Become A Data-Driven Company

Bill Hammond
Bill Hammond
4 Min Read
SHARE

The value of big data can’t be overstated for businesses nowadays. The collection and analysis of data has allowed thousands of businesses to make decisions that are driven by that data, lending their decisions more weight and credibility – and even predicting the future with machine-learning.

The value of big data can’t be overstated for businesses nowadays. The collection and analysis of data has allowed thousands of businesses to make decisions that are driven by that data, lending their decisions more weight and credibility – and even predicting the future with machine-learning.

But how can you actually become a business driven by data? The idea of being able to make powerful decisions based on hard evidence is something many businesses crave, but implementing this kind of system can be challenging, to say the least. Here are a few steps you can take in order to build your data strategy.

More Read

Ring in the New Year with New Data Products
The Driving Force Behind Big Data: Data Connectivity
4 Data-Driven Approaches To Bolster Email Deliverability
Phenomenal Data-Driven Insights Spark Growth In Auto Transport Industry
The First Data Scientist on the Evolution of Data Science

Collect the data

The first, and arguably the most important step to becoming a data-driven company, is to start collecting the data. You can’t make those all-important decisions without it.

Start off by acquiring a simple cloud-based software platform, and store as much data as you possibly can. Don’t discriminate on the data you store at this stage – you don’t know what might come in handy further down the line. There might be certain metrics that are totally useless, but you won’t find out until the point of analysis. A simple rule of thumb is this: if you’re not sure what to collect, collect it all!

Get the IT support

If you’re collecting and storing massive amounts of data, you’ll need an IT support strategy that can deal with. Older IT structures might stand in your way, so be prepared to implementing something entirely new, which will help in sourcing, storing and analysing data as you collect it.

Set business goals

There’s no point in developing a data-driven strategy if you’re not moving towards a goal. Think about all the different ways that data could help you grow, and set measurable targets which will spur you on. These targets and goals will also help you to measure performance, so you can see how well your data strategy is working. If you’re three months into the data implantation project and have only noticed minimal progress, perhaps you need to go back to the drawing board or simply make a few tweaks to your setup.

Bring in data experts

To get the very best out of your data, you need to take on someone who understands how to leverage and analyse all of the data you’re collecting. A smaller business could feasibly take on just one or two people to analyse the data, but larger firms should look at developing a data team who can perform important analysis on all of your data, as well as translate what the results mean for your business.

Article originally published on Big Data LDN

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data science professor
The Power of Warm-Ups: Setting the Stage for Learning
Exclusive News
cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Customer Data Quality: What Is the Value-at-Risk?

8 Min Read
Customer Data
Big DataData ManagementPrivacySecurity

Customer Data Protection: What Businesses Can learn from Equifax Data Breach

5 Min Read
Image
Big DataITPredictive Analytics

Access Layer Data and Sensor-2-Server

7 Min Read
Analytics-backed investments ideas
AnalyticsBusiness IntelligenceExclusiveMarket Research

6 Analytics Backed Business Investments For 2019

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?