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How Big Data Can Be Used in Sales & Marketing
| November 29, 2018
Steppingblocks is a digital career counseling platform that analyzes millions of professional paths to help students map the right choices for their career development.
Article | July 13, 2021
We are living in the age of Big Data, and data has become the heart and the most valuable asset for businesses across industry verticals. In the hyper-competitive market that exists today, data acts as a major contributor to achieving business intelligence and brand equity. Thus, effective data management is the key to accelerating the success of businesses. For effective data management to take place, organizations must ensure that the data that is used is accurate and reliable. With the advent of AI, businesses can now leverage machine learning to predict outcomes using historical data. This is called predictive analytics. With predictive analytics, organizations can predict anything from customer turnover to forecasting equipment maintenance. Moreover, the data that is acquired through predictive analytics is of high quality and very accurate. Let us take a look at how AI enables accurate data prediction and helps businesses to equip themselves for the digital future.
The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.
The increasing use of advanced technologies and the internet have created an attack surface for malicious attackers. With these progressions, businesses’ IT systems are now more vulnerable which has led them to leverage innovative cybersecurity strategies that can thwart and make their networks more resilient to cyberattacks. Cybercriminals can use a variety of attacks against individuals or businesses like accessing, changing or deleting sensitive data; extracting payment; interfering with business processes and more.These kinds of attacks present an evolving danger to organizations, employees and consumers, and can cost them reputation, finances and personal lives to some extent. So, in order to protect IT networks from cyberattacks, it is significant to be aware of the various aspects of cybersecurity.
Do you know the real importance of Big Data in the Food Industry? Knowing your audience is important, even fundamental for any kind of business. In this article we will analyze the best practices and the best data-driven strategies (marketing, but not only) for the food industry. Food and Beverage is a large and complex sector that embraces a number of very different players, some of whom are interconnected. The ecosystem includes both small producers and large multinational brands, players who cater to everyone and those who target a specific niche; then there are the distributors, clubs, restaurants both small and large, and retail chains.
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