Overall application of deep data insights: Data-driven strategies do not solely focus on marketing. It could also be used in different areas in the company which could leverage assortment on customers, price improvement, promotions, shipping operations, store operations and cyber security on relevant, personal data of the customers.

Windsor, CT -- (SBWire) -- 02/19/2015 --Big data plays a vital role in delivering timely and personalized customer relations. In this generation where most consumers are 'connected', data gathering strategy that includes collecting, storing, organizing and analysis is in dire need to determine the flow of the market. And having the right technology, infrastructure, and analytics could help bring out the many possibilities of data, which when is translated, could be put to good use.

Translating big data could be a strenuous work, but the meaningful insights it could generate can improve lives. The same thing with what DataGrip, the number 1 resource for identifying phone owners, is doing with their database and their gathered information or their 'products' from various phone companies. The Data Grip gathers information to help people identify certain individuals that are making dangerous prank calls or to solely find missing individuals. So that's how Data Grip put their big data to good use, to help people.

But there are other ways that big data can be used in industries that are more on connecting with the consumers to drive their connectivity and improve customer experiences, these are:

Digging deeper on big data insights: The approach to big data in the previous years are more on product recommendations that were gathered from emails and website clicks that had helped in reshaping campaigns and initiate new one which makes the connection with brands to the customer more personalized. But with the latest technology on data analytics and tools, brands will be able to dig deeper on more valuable customer insights based on their behaviors in the market and fact-based forecasts.

Using data-driven tactics in interacting with customers: Understanding the purchasing history of customers is not enough to determine what kind of strategy is needed to make interaction. But if marketers managed to identify what pushes customer to buy certain brands with data-driven strategies, this would likely improve and make customer experience more personalized.

Develop an analytic network to link data in varying forms: The lack of standardization in big data impedes the translated meaningful insight into practical use. Which is why finding the right platform to store data according to type, volume, and use is needed that can help marketers filter what is valuable and what is not. If these were properly organized, it would be easier to get an access and link the data for analytics.

Overall application of deep data insights: Data-driven strategies do not solely focus on marketing. It could also be used in different areas in the company which could leverage assortment on customers, price improvement, promotions, shipping operations, store operations and cyber security on relevant, personal data of the customers.

Despite the benefits gained from data-driven strategies and translating big data to meaningful insights to be put in practical use, marketer should not stop there. Continuous development and innovations should be implemented over time to provide more valuable and personalized customer experience.

About Data Grip
DataGrip is the number one reverse phone service. Their customers love DataGrip due to the accurate data that they are providing. They're dedicated to collect public data and share it with whoever is in need. Their accuracy comes from the few contracts that they have directly with phone companies. They have top notch customer service ready 24/7.