The digital era is continuously evolving with the power of data-driven, business intelligence applications, and resources such as social media platforms, search engines, etc.
Today’s market has become consumer-centric where consumers research for their product before buying it. The digital world is on the verge of trending revolutionary technologies like artificial intelligence, machine learning, big data analytics, etc. Here companies are adopting smart technologies to make intelligent moves to attain good customer service.
What is Business Intelligence?
Business Intelligence (BI) is a technology-oriented process of collecting and analyzing business data. The insights collected from processing this information help organizations in accurate decision-making, that’s why companies are racing to hire data scientists. The advanced BI tools introduced in the market can process a huge amount of information in seconds and present full actionable reports.
Social media and search engines are the caterpillars of digital marketing strategies for companies. The amount of data generated from these sources has increased drastically making BI process and make smart decisions.
Know Your Customer
BI presents a complete view of your consumers. Even advanced BI tools provide sales insights into consumer behavior as the driving force of your marketing strategy. The data collected from them is used to get information about a customer.
Social media platforms provide data in the form of comments, posts, shares, likes, etc., collected from various social websites. Brands can recognize customers’ needs, likes or dislikes, comparisons, engagement, etc., Companies can examine brands’ data to know about customers’ conversations about the brands. The BI tools have the capability to perform sentiment analysis to demographic insights like operations.
With analytics, businesses can examine the overall traffic on their website. They can also check the region, a page with the highest traffic, mode of reachability, etc. Organizations can use keywords that can generate high traffic. Using these keywords, more visitors can be attracted to the website.
The data flowing through the internet changes every week, even every day. There is a need for real-time data to provide fresh data for your marketing campaigns. Analyzing data in real-time empowers your marketing performance by eliminating extra upfront costs. You can join Big Data Hadoop Training to learn to build visualization, organize data, and optimize your work according to qualified data. Here, you will also understand how to correlate data with your business strategy. It will allow you to perform analysis on unstructured data that emerged from your business.
Marketers can leverage real-time data analytics to monitor all marketing channels. They can share products on various media platforms and decide where to spend more or less. Also, companies can respond to their customer query in real-time. According to a report, 52 percent of customers want a quick reply to their feedback or other made queries.
The involvement of AI in CRM tools helps employees to serve as virtual assistants making them more productive. It can automate consumer response, data, follow-ups, activities, emails, etc. AI enabled CRM tools to improve segmentation, customize and prioritize hot leads.
Companies are using AI to design desired email marketing campaigns according to personalized user behaviors. Thus, they can connect to more people and convert them into qualified leads. ML algorithms analyze customers’ data and tell about which time of the week is best to contact them. It also provides data like which kind of content attracts them most, which kind of title clicked most time. All these matrices are necessary to launch an effective email marketing campaign.
The traditional way of making internet searches has gone so long. The latest searching model inherits dual behavior: Voice-based search and RankBrain. Yes, AI has also enhanced the traditional search engine optimization and search methods. The introduction of automated products like Amazon Echo, Alexa, Siri, Cortana, Google Home, etc., allows people to make the voice-based search.
According to Google, 70 percent of the searches made with Google are in a natural, conversational tone. It merely contains any typical keywords. Google ML algorithm called as RankBrain, used to perform the relevant search operations. The voice command is interpreted to provide results to the user according to language or context. A company that has experience in dealing with voice searches can maintain its organic traffic very efficiently.
The predictive analysis uses computational, statistical algorithms, ML techniques to conclude the future outcomes from the collected information. Predictive analysis is already providing force to various industrial operations. Its impact can be also observed in marketing. These ML models predict the possibility of a prospect becoming a customer. It also allows them to decide prices and discounts on their product. Predictive models are best for good quality data, if your data is not that effective, you will not achieve desired results.
Thus, BI application will enhance the marketers planning to the delivery level of works. A big thanks to data for assisting organizations in straight-forward thinking and accurate decision making.