Transforming Bigger, Better Data into Smarter Data

23 June 2020

When businesses create strategies using smart data, they're more likely to unearth valuable gems of information that will lead to direct impactful successes.

Kompass International

By Kompass International

23 June 2020

It is not surprising to find out today’s companies gather information and intelligence from data.

Because smart data helps companies grow and have a competitive edge, companies need a strategy for obtaining it.

They also need to learn and use the strategy efficiently. We provide global reach solutions which help customers gain and use smart data.

We provide this through our stellar B2B data collection and management expertise experience.

Our B2B solutions provide our global customer businesses with smart data strategies in more than 60 countries.

Smart Data Strategies

Business intelligence in today’s global corporate world needs to embrace new technologies and digital marketing.

If corporations wish to grow and develop internationally they need to upgrade and update their tradition B2B data collection. They also need to deploy effective management systems.

There are four steps in business intelligence strategy growth and development. The steps are taken so companies can receive smart data on customers and markets.

Companies can add strategies as needed. The core four steps are;

  1. Define the challenge in business you are addressing.
  2. Collection of the correct data per country, area, region and business type is essential.
  3. Always remove your smart data subsets which are fluff or irrelevant.
  4. Use targeted metrics and methodologies for your analysis.

Today’s companies have too much data which is irrelevant. The data is irrelevant for growing, developing or targeting their branding and penetration goals.

Thus, companies need to think of smart data as a new process which allows them to gain insights which they can turn into valuable business actions.

Big Data and Marketing

The definition of big data is to have large amounts of structured and unstructured data collections.

Big Data uses five V’s in its process to obtain data. They are;

  • value
  • variety
  • volume
  • velocity
  • veracity

The trick in getting big data to turn into smart data lies in its filter. Smart data analysis is then done with the results being effective and efficient for making marketing decisions.

Think of big data as being a big engine that is dirty but still works even if there are hiccups with starts and stops as you are using it.

Once you clean the large big engine and add a filter, your use of the engine is smooth and directed towards where you want to go. This is the process that happens when big data turns into smart data.

There are three uses of smart data for marketing. They are;

 

  • Personalized and intelligent content

 

 

 

    1. a. This allows your website users to receive content based on their wants and needs.

 

    1. b. It uses the smart data received on each web user visit to display and optimize the content towards the user’s preferences.

 

  • Real-time and data-driven marketing

 

 

a. Using smart data metric solutions in storing and managing a large amount of analytics data.
b. This allows your company to target and drive your business results.

 

  • Analytics based on situational data.

 

 

 

      1. a. This is sometimes referred to as predictive analytics. But it is the integration of smart data into hypothetical situations.

 

      1. b. This allows companies to analyze what strategy has a better chance of success.

Data Collection Strategies

In today’s competitive world business must understand and target every single step of their buyers and users experience with them.

We have over 70 years of experience in business-to-business need in obtaining quality information and intelligence. Businesses need this for growth in the international marketplace.

Gaining targeted intelligence requires smart data collection strategies. These strategies include, but are not limited to;

      • Reducing the volume of big data to turn data into smart data. Sometimes variety is also reduced depending on the filtering need of each business. Value, velocity, and veracity all increase with more targeted data results.
      • Using a machine learning platform to create smart data. Machine learning uses recognition and decision-making to weed out intelligence factors in big data.
      • The use of artificial intelligence (AI) to get smart data during the screening and filtering process. It uses what machine learning has gained to set specific criteria to gain smart data intelligence.

There is so much wasted time and effort when businesses keep collection massive amounts of data and store the data. It becomes a quagmire of data no one uses in a targeted marketing manner.

Smart data strategies in getting intelligence information for your business based on customer preferences end-result in success. It can make the difference between a company growing or failing.

Smart Data

Smart data is not the wave of a future coming soon. It is the only way forward for business in the present.

Smart data eliminates all the big data’s excesses. A business who uses smart data strategies gives themselves a business intelligence platform.

A business platform they can use in their marketing growth programs. In essence, a business who uses the smart data tool optimizes their ability to reach their users and customers.

It also maximizes its brand exposure to customers and users. The end result increases growth and development in their marketing and business profits.

Smart data also allows businesses to use digital formats to store their data. This allows for user-friendly analytics.

There are three types of analytics used by smart data. Although the use of customization is available. They are;

      • Basic data – This is where companies track their customer or user patterns. They track their attitudes when they make a point-of-sale. It gives businesses about 200 metrics to apply their marketing strategies.
      • Advanced analytics – Provides models of analysis to improve marketing accuracy using correlation methods.
      • Cognitive Artificial analytics (AI) – uses algorithms tools learned from big data. It finds the data’s targeted consumer’s preferences.

How Do I Create Strategies for Smart Data in My Business?

Don’t let your businesses big data drive your analytics. Learn how smart data strategies need thoughtful plans before you start the process.

Smart data strategies need to start at the right time with the right filters. This allows you to get the best marketing results for your company.

We can get your company the most robust and targeted smart data marketing platforms.

We have over 7.5 million visitors per month from 69 countries worldwide with our booster solution.

Can your business afford to wait? We are one click or phone call away. The future is yours if you reach out to us today. Let us help build your company’s brand awareness to ensure your path to success.

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