Reasons for unified data purchasing in Big Data environments

Today, no company is unaware that data is a fundamental tool for feing its decision-making. Amazon, Netflix, Apple, Facebook and Google, the five most successful companies of the last decade, have cement their growth by putting the customer at the centre of their strategies, using a detail analysis of their own information, the study of the competition and also that of the markets in which they operate. Even for these information giants, their own data is insufficient and they resort to the combination of internal and external sources to configure a unique and versatile corpus that has help them improve decision-making, increase their ability to attract new customers and improve the results of their strategic operations.

One of the main mistakes made when purchasing external data to enrich one’s own data model is to do so in a decentraliz manner . Thus, we find that a Purchasing department may receive different requests for data purchases:

example of database purchase requests

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The treatment of these three orders or requests independently has a negative impact that can be evaluat by its economic cost, loss of data value and final profitability.

The first consideration that we must start from to explain the ne for a unifi basic image iting services is that data is an updateable asset that requires validation; but in no case is it a perishable asset that can be convert into waste. On the contrary, its value increases as long as it is capable of interrelating with a greater volume of information and there is the capacity to analyze the evolution of said interaction over different periods of time.

basic image editing services

 

Similarly, the different areas of a company are not watertight compartments, but rather arms link to the fulfilment of a single objective. It should not be acceptable for the information on which each of these departments makes decisions to be structur in Historia dos números de teléfono silos. Each department can assess the suitability of the client from one perspective, but must be aware of the other perspectives and influence how they affect itself. Therefore, approaching the purchase of data in a unifi way is the only way to be a truly data-centric company .

To achieve this goal, our data must be us across the entire company. An betting email list data layer, combin with our internal data, allows us to go further. However, we may find that the quality of our internal data and the large number of external data sources increase costs and ruce the effectiveness of the processes and actions that rely on them.

 

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With PYRAMID, it is possible to identify a complete list of companies with a specific activity, operating in a specific geographic area, with defin turnover ranges and number of employees, digital maturity and own fleet of vehicles; as well as to follow the evolution of the variables set over a period of 5 years.

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