Every business user knows how critical data is. Data integrity is important and has to be validated for accuracy and consistency. Data has to perform, but way before this happens it must be trusted. There’re so many data sources and the varieties keep growing. The data is important and needs to be reliable; it’s what leads to better and improved decisions. If data is to work for you then there has to be one version of the truth.
Where did it come from?
If data has been created with a quality and dependable tool or program, trusting it will not be a problem. It means there’re clear accountabilities allowing managers to come up with the correct data with stringent input controls making sure there’s no cause for error. In the process, no one has to question the data and whether it can be trusted. Essentially, trust simply means competence and good intentions. For any data to be believed it must be accurate and objective.
Has the data been independently assessed?
Clearly, if data is to be considered as objective, accurate and thus trustworthy it must be well assessed. Independent data quality assessment creates more credibility and enhances trust. Figuring out the program or organisation that created the data is important. At TrustedBI this is very clear; businesses have to be helped to tame their big data in diverse ways to help them make wiser business decisions and capitalise on any clear opportunity while responding to possible complications in business from a point of information.
How does it integrate with existing data?
Data that can be trusted or data you’ve decided to move forward with has to be aligned with the data you already have. It means the basics that must appear in all your data are identified and integrated even as data definitions and measure units are aligned and duplication avoided.
If the data can be trusted, it’ll help you push and make the most of it as much as you can. Where data is not perfect it doesn’t mean new insights cannot be deduced from it, but caution must be exercised even as the errors and flaws are understood, including the way the data can be cleaned. You must know when to back off if the data is not really what you had in mind.
To make up your mind on the trustworthiness of data is not easy; you need help consolidating it from relevant multiple data sources. Through TrustedBI for instance, you can choose the most relevant method for the business and the IT infrastructure you already have. You also need to access all of your other types of data structured or unstructured, big data
included, without using programs or models which are way too complex. With well thought-out analytic solutions for your business you can enhance your decision making processes through the delivery of proper data to those employees who need it.
Accuracy will then be validated and data integrity ensured as consistency is maintained across diverse sources. With increased accountability and well integrated processes the performance of the business will be boosted. Remember the relevancy and accuracy of your data ensures your company, particularly employees have trustworthy, relevant and timely information they need to work with.