The Digital Age of Data Intelligence

What comes to your mind when you think of “Data Intelligence?” Is it Business Intelligence? Maybe Business Analytics? Data intelligence is the foundation for creating any insightful report. It is more than analytics.  

The process of optimizing Artificial Intelligence and Machine Learning tools to scrutinize and transform large datasets into intelligent data insights, which businesses can further use to improve their services and investments refers to data intelligence. They can implement data intelligence tools and methods to understand comprehensive information with the objective of developing better business processes. The most reliable data analysis is done focusing on these four components:  

  • Descriptive data 
  • Predictive data 
  • Prescriptive data 
  • Decisive data 

In other words, if data is “oil,” data intelligence is the “oil refinery.” It understands data and extracts incognito and insightful information while providing intelligence for data-driven decisions and actions. It helps companies extract, engage, and analyze data from different areas:  

  • Allows a 360-degree view of their business or certain areas.  
  • Endorses organizational transformation.  
  • Promotes data-driven culture in the organization.  
  • Help understand customers.  
  • Assists in building new services or products.   

Data Intelligence: A Business Essential  

Having customers with soaring demands, businesses have to become more active, reliable, and most importantly predictable. Earlier the companies used to promise their service and it was enough for the buyers. However, in this era, things are a lot different now, consumers give a premium to performance than a promise. 

Data Intelligence helps you deliver what you promised in the near time. You can easily predict when your machines are going to have downtime while being proactive in fixing them. You can estimate the accurate duration of a project and optimize resources accordingly. Being backed with a precise forecast, you construct reliability into delivery.  

The amalgamation of technological advancements and data science drives the opportunity to establish a unified, impactful, and sophisticated data intelligence. In order to improve marketing and business operations with data intelligence, an organization needs to follow these five steps:  

  • The first step is to acknowledge technological advancements of science, data, and software specifically designed to benefit from new opportunities.  

  • Secondly, it is essential to establish a universal identifier to unify online as well as offline first, second and third-party data via graphs and models.  

  • Thirdly, ensure the effective enrichment of data that is being generated and harvested daily.  

  • Then, allow the effective segmentation of data as per the current capabilities of your CDPs, then implement data science and machine learning tools to identify the potential data activation via any channel of interaction, usually known as omnichannel.  

  • Lastly, establish a common software for all the relevant parties empowering data intelligence for all – from data analytics and data science teams all the way to the planning and operation teams. It should be accessible for anyone desiring to exponent current market opportunities.  

Business Intelligence  

Business Intelligence is the essence of data intelligence ensuring various levels of insights with increased value and technological complexities. It is one of the most crucial business aspects and sets a foundation for your business decisions. It typically includes four types of analysis. 

Helps Improving Competitive Intelligence  

Businesses can get a competitive edge with such analysis which turns big data into insightful actionable reports. Such solutions allow data access to authorized people ensuring a competitive, secure, and intelligent report. This ensures organizations can make more strategic decisions quickly with this information effectively.  

Improves Market Intelligence 

Akin to competitive intelligence enhancement, intelligent data analysis can help improve market intelligence by identifying customer insights, customer monitoring, buying patterns, and predicting market trends. Having these details available on a single platform can help businesses become more responsive towards marketplace changes while optimizing manufacturing and cutting waste.  

Integrates Data  

Since there is data everywhere, in different formats and texts, it makes data analysis a challenging task. However, this technology extracts inputs and turns them into more actionable reports while minimizing complexities existing with data locked in different software and spreadsheets. Having data extracted from various sources and formats is transformed into a single vision of truth, making it easier for entrepreneurs to analyze their businesses and make logical decisions.   

Provides Customer Insights  

Intelligent data analysis extracts customer data from CRM, social media campaigns, email marketing, and websites while determining customer engagement with your business. It helps an organization identify factors causing low or high engagement and create effective strategies to boost sales.   

Bottom Line  

Data Intelligence is more than just analytics, it collects data from different sources and refines it to deliver further for generating analysis. Data intelligence can be addressed to the process of optimizing Artificial Intelligence and Machine Learning tools to scrutinize and transform large datasets into intelligent data insights. Business Intelligence is the essence of data intelligence, a business scalability relies on your BI capabilities. Trident Information Systems is equipped with Microsoft’s robust tools ensuring a powerful BI service. For further queries or a demonstration, contact us.