Leveraging Data in the Right Way for a Competitive AdvantageBy CIOApplications Europe
The use of data has become familiar to every company to outperform their peers. Businesses and startups use the strategies resulted from analyzing data to compete in the race and to capture the value. It seems intuitive. To be successful in marketing and lead generation, organizations should know the best potential clients. However, what percentage of companies knows this? Moreover, are the companies with better target profiles and lists more successful in their marketing and lead generation efforts? The companies have to have better knowledge about their targets and accordingly generate the leads. Data can provide insight, inform decisions, and deepen relationships. It can be bought, sold, shared, and even stolen, and all these suggest that data has value. If anything is too much, it leads to differential conclusions. Data Intelligence solutions provide the best strategies to expand a company’s services and investments.
Data intelligence tools provide a huge amount of qualitative data that enables to make an actionable change. Implying this qualitative data can influence decisions which result in increased profits or productivity. This is the significant benefit of using data intelligence tools. Utilizing the right complementary data is an effective way to maximize its potential. Analyzing data intelligence helps in implementing effective changes that can improve company services and investments.
Targeting and segmentation are the foundation for generation or marketing effort, and it must be done with utmost thought and rigor. Just building an analytical model that capture insights doesn’t mean that it is useful. The business objective should be current, accurate, and offer actionable insights that strengthen the bottom line. Blue River Technology leverages AI to assist digital optics to determine when to spray agricultural plants with herbicide. This technology saves the chemical costs in spraying.
In some instances, what is needed is often important than what is already present. Flexibility is required to adjust the parameters after test results reveal that proper service is not delivered to the customer according to their needs. Dreamstime, a digital image company, with the help of artificial intelligence (AI), evaluates the feasibility of training the machines to understand the rules and collects historical data from their image repository of more than 64 million photos. Data is never dormant. Businesses should be cautious and conscious in ensuring the data collected is clean and up-to-date. The importance of data doesn’t depend on how much data a company has, but depends on, how a company utilizes it.