Digital Bee's Consultancy

As we know data is a valuable asset to businesses and needs to be governed and secured in an efficient manner while complying with regulations. Firstly, we must understand and define what data governance means. “ CIO.com  put forth an excellent definition earlier this year: “Data governance defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across the enterprise.” (Iversen, 2021) . While the primary function of data governance is to comply with regulations and address security concerns, a company can use this to improve decision making and optimise their products and services. Data governance systems can be used to organise data for specific uses and target essential KPI’s if utilised correctly. This blog will outline the benefits of an effective data governance system and how it can help businesses be successful.   A strong data governance system can benefit a business in a number of different ways. Firstly, puttin...

We have been discussing the importance and challenges big data analytics can bring for small and medium businesses. The actual process of collecting data from consumers and transforming it into useful and meaningful insights is complex and fruitful if contextualised and interpreted according to the company's objectives. Big data is a concept related to the word precision , where mathematical and logical knowledge is highly demanded as awareness in each step of it. Based on the same fundamentals of the ethnography research of extracting information of communities and societies through participant and non-participant approaches, netnography focus on the participant research in a digital community. (Devault, 2018) In this blog post, we are going to be discussing how this novel market research can influence business actions. Based on the same philosophical backgrounds, this method involves descriptive methods, using a variety of tactics, adjusting them to multiple scenarios, and requi...

Image  source:  towardsdatascience.com                                                         When digital information integrates with the physical environment in real-time it is called Augmented reality (AR). It uses multi-sensory technology based on graphic, sounds, images or animation features that allow the conception of a partially artificial environment. These features support the expansion of the normal physical limitations of users and improve the manipulation of information. (Statista, 2021) In the beginning, this sort of technology was high-priced, unstable and demanding to reproduce. With mass industrialised parts and components for computers, smartphones and tablets, this technology began to gain space on the world stage. It generates the opportunity for enterprises that are eyeing the potential of con...

Today's technology is developing at such a rapid speed that it enables quicker change and growth, allowing the rate of change to accelerate to the point that it will eventually become irreversible. Due to the outbreak of COVID-19 last year, a lot has changed, making IT professionals realize that their position in the contactless world of the future will not be the same.  According to a new Fortune/Deloitte CEO survey, the current climate has intensified digital projects that were about to start or were already in the works, with 85 percent of CEOs agreeing that the pandemic has dramatically accelerated digital transformation—up from 77 percent in June 2020 (Deloitte, 2021). Some emerging technologies that are predicted to accelerate in the coming times are as follows:  .        Artificial Intelligence - Artificial intelligence refers to a computer or machine's ability to imitate the capabilities of the human mind—learning from examples and ...

Even before considering using the power of data analytics for small or medium companies, the main questions should be how those analytics are going to help businesses to know their consumers, and how it can be useful and consistent to leaders and managers to make an effective application of them. This is considered one of the main challenges to independent and established owners, the value challenge. The value challenge in data analytics is relatable to the extraction of insights from the data collection and how we can interpret them. (AWS, no date)  In this case, we have two main approaches to read, comprehend and take useful outcomes from it: Prescriptive and Predictive. Both are distinct by default and serve different purposes that can enhance knowledge management within small and medium businesses. Credit: Georgia de Lotz (Unsplash) Beforehand, it is important to highlight that there are some important aspects of how giving value and generating management knowledge, as it was d...

Knowledge management is crucial for companies to succeed. Knowing your business and your customer’s needs, wants and behaviours help businesses to inform their marketing strategies, increase their revenue and their market share. In the digital age, the majority of this knowledge comes in the form of data. However, data gathered by businesses is unrefined and difficult to read. A large company would have thousands of rows and columns of raw data on spreadsheets which would be extremely difficult to read and impossible to draw insights from. As Steve Denning stated “Nothing can be managed unless and until it is measured.   Because knowledge per se has no value in itself, it has to be measured in relation to the strategy it is intended to accomplish. ” (Denning, 2021) . This blog will outline the knowledge management and analytics processes which transform this raw data into actionable information. The two main analytic types that companies use to analyse their data are information ...

Programmatic advertising  is a relatively new methodology that makes use of huge volumes of data, also known as big data (Lee et al., 2013). It has boosted the growth and investment in online graphic advertising ( Kireyev et al., 2016). When opposed to conventional Internet ad buying and selling models, programmatic advertising has resulted in models that use the amount of user impressions, the cost of banner clicks, and innovative advertising (Aslam et al., 2017). The programmatic advertising technology analyses millions of pieces of real-time data, enabling programmatic advertising ads to accurately represent a user's specific desires at the precise moment when they are most likely to make a purchase or click on an ad (Belanche., 2017). It has the ability to ensure that the online audience is ample and that commercials are shown while the audience is using their computer (Lee et al., 2015). Furthermore, ads can be tailored for a variety of online channels, including social n...