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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 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

Data Mining Poll: Online Privacy
What is R?
Data Quality Industry: Problem Solvers or Enablers?
How Big Data Analytics is Driving The Future of Technological Business Success
iBeacons, Retail and Information Overload: How Macy’s Is Kickstarting Retail’s Data Warehousing Needs

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

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Predictive Analytics Toolbox

1 Min Read

James Taylor Reports on Predictive Analytics World Some trends:…

2 Min Read
Image
Big DataBusiness IntelligenceMarketing

Realize You’re a Data Company or Be Left Behind

4 Min Read

Decision time: Automated data integration tools versus manual coding

1 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?