You must have heard about the big data thing, right? Big data and marketing work as allies for your business. After all, it's no use having a lot of information if you don't know how to work with it.
Big data is one of the pillars of technological marketing . This type of approach has changed the way companies communicate with their consumers, through which it is possible to customize most advertising campaigns.
In short, big data is the union and strategic analysis of a large volume of data related to your business.
In this article, we will better explain the relationship between marketing and big data and how to best master these two concepts. Stay with us and understand, from now, all the details on this subject.
Understand the concept of Big Data
There is no point, however, having the data and not knowing how to use it. That's why big data and marketing work together. Thus, it is possible to transform this information into something valuable to your business.
With big data, it is possible, for example, to forecast the market and its forecasts, operations, talent management and problem identification, among other things.
Big data and marketing can, together, give you more firmness in your decisions. It's much better to choose a path when you can predict what you might find there. Ie: assertiveness in decision making.
But that's not all: marketing and big data can expand the paths, discover new possibilities and, thus, take your business to another level.
In the next topics, we will bring more details on how to make this junction, in addition to raising other important questions about this indispensable subject.
How to combine Big Data and Marketing?
To make the best use of big data in marketing, you must know some strategies to attract more leads and, thus, generate more conversion rates.
These two strategies can become a great differentiator in various processes of your business, whether internal or external.
By combining the two aspects, your company can stand out when doing market analysis.
Big data helps with predictability and consumption behavior and, with that, collaborates to develop strategies that impact the target audience more effectively.
In this way, the company can more easily understand what the customer's needs are, the correct approach and the ideal time to carry out the planned actions.
In other words, having a professional who understands big data in your business is essential to automate and optimize processes.Through this, the company manages to increase brand engagement.
It is also possible to develop new products and services, integrate information, analyze the competition and, of course, achieve goals.
Before combining marketing and big data, it is important to know the 7 Vs that are part of this big data concept, they are:
- Volume: concerns the amount of data collected;
- Speed : is the agility to collect and analyze this material;
- Link: time to understand the relationship and connection between these data;
- Variety: how this data is generated and the way it is structured;
- Variability: analysis of the variables of these big data;
- Veracity: checking the importance and usefulness and then discarding those that are useless or false;
- Visualization: organizing data in ways that are easier to analyze visually, such as charts and tables.
Big Data vs. Business Intelligence
Now that you understand how to combine big data and marketing, it is important to differentiate two closely related concepts: Big Data and Business Intelligence (BI).
Although complementary, they have some point differences.
BI is an automated system to import the flow of data of all types and thus provide information that guides your decision making.
Ie, BI helps to decipher and understand the data collected by Big Data.
Businesses that aim to implement big data also need to form a team with experience in BI.
Thus, marketing and big data, linked to BI, form a solid basis for handling this very important data.
Knowing how to use all these concepts together, your company reduces the risks of decision making. This is because they become much more technical and based on statistics.
Don't ignore big data!
Knowing how to reach the persona and designing good lead capture strategies doesn't have to be a maze of meaningless strategies.