Technology

7 Ways BI Can Accelerate Your Brand’s Growth

As an executive, manager, or corporate end user it’s your duty to on a regular basis take important business decisions that must be informed. You, therefore, need to be well-armed for this all-important task with BI.  Business intelligence (BI) comes as a technology-driven process for analyzing data and presenting actionable information with a wide variety of tools, applications, and methodologies that will enable your brand to assemble data procured internally or externally. The data you have so collected can then be prepared for analysis, developed, and even tested. Based on your outcome, you can go ahead to create reports, dashboards, and data visualizations to make the analytical results available for your corporate decision-making. With BI, you are assured of amazingly growing your brand in the following seven ways. 1. Accelerating and improving decision making BI puts you in the stead of avoiding cognitive heuristics whereby, you ensure that you don’t make decisions based on just very few information at your disposal or even making use of limited information when you have enough. You will not have to regularly make decisions based on just a few facts or what first comes to mind based on your previous experience and knowledge.  It’s…

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Marketing

How OKRs Complement Data Science

Objectives and Key Results (OKRs) is the fundamental aspect of goal-setting and revolves around improved focus, increased transparency, and better alignment. This is done by organizing employees and their work towards achieving common objectives. Since Data Scientists constantly drift into enduring research or optimizing less-valuable metrics, which often leads to wasted time and resources thereby endangering a successful delivery, integrating OKRs enhances strategic guidance and measurability, which help you achieve your project goal. The underlying factor behind Data Science is to fulfill a goal. The frame or yardstick of goals might vary from researching a new model to creating a prototype for improving an existing system. Whatever might be the quest, accurate goal-setting is paramount for Data Science projects. Data Science projects are well-suited for accurate goal-setting because we can compare the key results of our model with the required metric. It’s a common knowledge that product management is a science of experimentation and discovery, hence basing predictions solely about and on user behavior, may go wrong sometimes. It is a natural human instinct to assume that our rational assessment of a problem, based on our past experiences, will yield sound conclusions and represent the likely sentiment or behavior of…

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