5 Ways To Reach Connected Customers Using Big Data

5 Ways To Reach Connected Customers Using Big Data

5 Ways To Reach Connected Customers Using Big Data

In the era of the connected customer, having a big data strategy to collect, store, organize and analyze the trail of deep customer data is critical to the delivery of timely, personalized customer interactions. Fortunately, with the right technology, infrastructure and analytics in place to unlock the full potential of this data, driving deeper engagement with your connected customers is anything but guesswork.

Consider these 5 ways using big data analytics can help drive your connected customers’ experiences:

In the early days of big data, insights gleaned from email and website clicks re-shaped campaigns, initiated new ones, and led to more personalized experiences – often in the form of product recommendations. Now, new data types and more sophisticated tools, technologies and analytics can uncover deeper, more relevant customer insights, based on behaviors and fact-based predictions. The result is that marketing is able to move from speaking to large customer segments to a “segment of one” and deliver highly targeted, relevant messaging and content – exactly what connected customers expect.

Read Also:
Being Smart with Data Analytics

Being data driven isn’t simply about understanding customer purchase histories. It’s about digging into the deep data around behaviors, interests and preferences. The pivot points that push customers to the point of purchase. How, where, when and what messages you deliver are based upon big data analytics across multiple touch points and time frames – not simply intuition and knowledge of experienced decision-makers. Customer experience is improved and more personalized – online, on mobile devices and in-store. Retailers can provide their customers with the convenience of shopping wherever and however they prefer with the assurance that the products they want will be available, thanks to total visibility of inventory across the enterprise. The results are increased customer engagement, satisfaction, and long-term brand loyalty.

In today’s world of new and different data types and vast volumes of data, retailers must consider the “right” platform to store data based upon type, volume and even use. It is critical to develop a big data strategy and architecture to enable an analytic ecosystem. It’s a complete, agile ecosystem where data is readily available and easy to navigate.

Read Also:
Steve Dempsey: Artificial Intelligence will create new digital divide in data race

Easy access to a wide variety of data enables retailers to efficiently and effectively “connect” data for analytics regardless of where the data is stored – or where it originates. Agility is key.

 



Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
Transform Your Business With IoT Analytics

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
How Data Science Will Change IT Operations

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Data governance for each step in data’s journey -

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
Big Data is Transforming Commercial Construction

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
10 reasons to be excited about data analytics in 2017
Read Also:
Tips for making your data lake thrive

Leave a Reply

Your email address will not be published. Required fields are marked *