Tag Archives: analytics

Actionable Insights Examples – Turning Data into Action

data to insights to action - actionable insights examples

In this post, you will learn about how to turn data into information and then to actionable insights with the help of few examples. It will be helpful for data analysts, data scientists, and business analysts to get a good understanding of what is actionable insight? You will understand aspects related to data-driven decision making. Before getting into the details, let’s understand what is the problem at hand? The school authority is trying to assess and improve the health of students. Here is the question it is dealing with: How could we improve the overall health of the students in the school? We will look into the approach of finding the …

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Posted in Analytics, Data Science. Tagged with , , .

Top 10 Types of Analytics Projects – Examples

Most common analytics projects

In this post, you will learn about some of the most common types of data analytics projects which can be executed by the organization to realise associated business value from analytics projects and, also, gain competitive advantage with respect to the related business functions. Note that analytics projects are different from AI / ML projects. AI / ML or predictive analytics is one part of analytics. Other types of analytics projects include those related with descriptive and prescriptive analytics. You may want to check out one of my related posts on difference between predictive and prescriptive analytics. Here are the key areas of focus for data analytics projects: Cost reduction: …

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Posted in Analytics. Tagged with , .

Analytics Maturity Model for Assessing Analytics Practice

In this post, you will learn about data analytics maturity model which you could use to assess where does your business / organization stand on the path of using analytics to drive business value. If you represent decision-making stakeholders group and want to assess your organization readiness / capabilities to deploy analytics in order to create business value creation, you may find this post useful enough.  Here is a list of other articles I posted in the recent past in relation to strategic data analytics: Top 10 analytics strategies for great data products Top 5 data analytics methodologies Here are the three broad categories / levels of data analytics maturity model: Analytically …

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Posted in Analytics. Tagged with , .

Top 10 Analytics Strategies for Great Data Products

In this post, you will learn about the top 10 data analytics strategies which will help you create successful data products. These strategies will be helpful in case you are setting up a data analytics practice or center of excellence (COE). As an AI / Machine Learning / Data Science stakeholders, it will be important to understand these strategies in order to deliver analytics solution which creates business value having positive business impact.  Here are the top 10 data analytics strategies: Identify top 2-3 business problems Identify related business / engineering organizations Create measurement plan by identifying right KPIs Identify analytics deliverables such as analytics reports, predictions etc Gather data …

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Top 5 Data Analytics Methodologies

analytics methods

Here is a list of top 5 data analytics methodologies which can be used to solve different business problems and in a way create business value for any organization: Optimization: Simply speaking, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values (also termed as decision variables) from within an allowed set and computing the value of the function. An optimization problem consists of three things: A. Objective function B. Decision variables C. Constraint functions (this is optional) Linear / Non-linear programming with constrained / unconstrained optimization Linear programming with constrained optimization Objective function and one or more constraint functions are linear with decision variables as continuous variables Linear programming with unconstrained optimization Objective function …

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Machine Learning Use Cases in Procurement

procurement machine learning use cases

This post represents some of the important machine learning use cases in the procurement domain. These use cases can also be categorised as predictive analytics use cases for procurement. The list is not aimed to be exhaustive. However, some of the most important ones are listed. In case, you would like to add one or more use cases which I might have missed, pls feel free to suggest. The following are five key business function areas / department in procurement department.  Demand management Category management Supplier management Sourcing management Contract management In all of the above function areas, there can be multiple use cases which can take advantage of machine …

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Posted in AI, Data Science, Machine Learning. Tagged with , , , , .