Data is
everywhere. In every 60 seconds, Google gets 3.6 million searches, Twitter gets
456,000 new tweets, Wikipedia gets 600 new edits, and the list goes on. All of
us together create around 2.5 quintillion of data in the virtual world
each day, on an average scale. It’s huge, isn’t it?
When such
enormous quantity of data is being accumulated around us, nothing helps your
business like data analytics!
Unfortunately
yes! It’s not child's play for an organisation to collect data, analyse it,
gain relevant insights, and make it actionable in the set-up. Taking action
with the data you have accumulated requires proper strategy and focused
approach. And that is everything this article is hinting towards. Here goes a
few tips to know while you implement data analytics for your business.
Find the Key Metrics
Indeed, there
are a lot of innovative data mining techniques
to give you relevant data. However, the key metrics that are relevant to your
business goals should be figured out as an initial step.
For example, if
you are looking forward to customer acquisition data, conversion rates becomes
one of the key metrics. You can ignore extra data which in turn will simplify
the whole process.
Use an Analytics Dashboard
Here’s a helpful
tip. Put all the relevant data metrics on the dashboard. So that you can
compare it with those of previous months or weeks.
You can even put
the data metrics on a Google Sheet. And yes, you can share it with the relevant
team mates. Develop the habit of
updating the sheet on a regular basis.
This way, your
team gets newer insights to experiment on, That too easily and quickly. While
preparing a dashboard, your attention should be on making it simpler and
relevant.
Pick Up the Right Tools
Having fancy
tools at your disposal is not going to benefit your business. Instead, choosing
the right tools that is relevant to your business will do good to your firm.
The tools may look similar outwardly, but will be different in its
functionalities.
Ensure that the
tools you choose are best suited for your business requirements. Luckily, there
are numerous tools being introduced to the big data market these days.
No comments:
Post a Comment