Top 10 Things to Consider when Choosing a Syndicated Data Company

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Syndicated Data Companies

Choosing the right syndicated data company can be a daunting task. With the increasing demand for reliable and accurate information and data in the competitive foodservice market, selecting a reliable data company can determine your success or failure. At Brizo, we strive to provide in-depth foodservice market intelligence and analysis for our customers to enable them to improve their competitive edge. Therefore, we have compiled a list of the top 10 things to consider when choosing a syndicated data company.

1. Depth of Data

The depth of data offered by the syndicated data company should be an important determining factor that needs to be considered before selecting a data company. The depth of the data provided is not only related to the number of data points, but also the level of granularity with which the information is provided. A good data company should provide detailed and comprehensive information about the foodservice market from multiple sources, giving you an in-depth understanding of the markets you are researching.

2. Scope of Data

The scope of the data provided must also be taken into account. The syndicated data company should be able to provide you information for the entire foodservice market including spending, consumption patterns, menus, restaurant technology, customer insights, production processes and much more. The data company should offer insights specific to the food service industry and be able to deliver the data in whatever format is required.

3. Data Freshness

In order to make informed decisions, it is essential to ensure the data provided is fresh and up-to-date. Once the data becomes stale, the decisions will no longer be relevant and accurate. Therefore, it is important to select a data company that provides timely and accurate data which can help you make quick and informed decisions.

4. Quality of Service

The responsiveness and quality of customer service for any syndicated data company needs to be taken into account. It is important to ensure that the data company provides timely and accurate customer service when responding to queries and concerns.

5. Pricing

The pricing of the syndicated data company should also be taken into account. A good data company should offer a range of pricing plans which are affordable and also provide the best value for money. This will ensure that the data is within your budget and does not add up to an unnecessary expense.

6. Ease of Use

It is important to select a data company that provides an easy to use platform for its customers. The platform should be user friendly and should enable customers to easily access the data they need quickly and conveniently.

7. Security

The security and data privacy of the information provided by the syndicated data company is of utmost importance. It is important to ensure that the data company utilizes secure protocols and maintains data privacy so that proprietary information is not compromised or shared with any third-party sources.

8. Accessibility

It should also be ensured that the syndicated data company provides access to multiple platforms. This way, customers can access the data from any device including tablets, mobile phones, computers etc.

9. Integration

In order to ensure that the analysis of the data can be efficiently automated, it is important to select a data company that is able to integrate with other existing systems. This will enable customers to access the data with ease and enable them to efficiently utilize the data for a range of business objectives.

10. Customer Support

Lastly, it is important to select a data company which offers good customer support. The customer support provided should be reliable, offering timely and efficient solutions to any queries or concerns customers may have.

When choosing a syndicated data company, it is essential to consider the above mentioned factors. By doing so, customers can ensure that they get the best services and the best value for money, without compromising on the quality of the data or customer service provided.