Explore Key Data Methods to Empower Informed Decisions
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In today’s world of ever-evolving trends, relying on the “go-with-your-gut” approach is a colossal mistake.
Intuition-led decisions can be biased and thus can restrain decision-makers from making the right choices.
On the other hand, data-driven insights offer real-time information that promotes informed decision-making.
So, as a high-level decision-maker, you must prioritize a data-driven approach.
However, it’s easier said than done.
In my experience, leveraging data analytics is pivotal to achieving this goal. It can empower your teams, including IT, data research, security operations, and more, to gain valuable business insights.
For instance, a data analytics tool can allow different teams to collaborate, share, and analyze relevant data to make strategic decisions. This enhances customer experiences and drives overall business growth.
In this post, I will share the top four types of data analytics that can foster accurate decision-making and bring positive business outcomes for your firm.
What is Data Analytics?
It is an advanced method that helps analyze large volumes of raw or unstructured data to draw meaningful insights for accurate decision-making.
It encompasses an array of activities like data cleansing, modeling, visualization, and forecasting.
As a decision-maker, you can leverage data analytics to unearth industry trends, customer patterns, correlations, and more.
This can help you make accurate decisions, thus helping your organization thrive.
4 Key Types of Data Analytics for Businesses
Here are the four key types of data analytics you can leverage for your business.
#1: Descriptive Data Analytics
This data analytics method allows decision-makers to analyze data on past events to understand their current business performance.
So, implementing this data analytics can provide you with insights into your past business strategies.
However, my suggestion to fellow decision-makers is to avoid relying on this analytics method.
While descriptive analytics provides an understanding of your past performance, it is only the beginning of the data-driven approach.
To truly harness the power of data, you must embrace more advanced methods, which I have shared in the upcoming sections.
Before we dive into advanced methods, let me share a quick example.
This cloud accounting and financial management solution provider uses this method to identify business opportunities and forecast trends.
This approach has helped them stay abreast of the competitive landscape.
#4: Prescriptive Data Analytics
This data analytics can help top management and C-suite to analyze upcoming trends and take actionable steps to reach key business goals.
By leveraging this method, you can understand “What can you achieve and how?”
Most companies, including SurveyMonkey, Amazon Web Services (AWS), Oracle, IBM, and Tableau, leverage this advanced analytics method to create business strategies.
Being a SaaS entrepreneur, I have witnessed the transformative power of prescriptive analytics, just like these firms.
Here’s how my IT team lead leveraged prescriptive data analytics to improve the functionalities of our SaaS-based revenue management platform.
They analyzed customer usage patterns to identify areas for improvement within our platform.
Here are a few prescriptive analytics recommendations we implemented.
Customizable dashboard with customer insights
Automated task management
Alerts to identify anomalies
This helped our team enhance the client experience, thus driving higher conversion rates and customer satisfaction.
Data is the most crucial asset for companies, but it’s pivotal to use it correctly.
Its real value lies in how you harness it.
The four data analytics methods I shared in this post can help you achieve this goal. Implementing them can help you unearth meaningful insights and empower you to make informed decisions, thus taking your business to the next level.
Data analytics has immensely contributed to my team’s enhanced performance, and it can help you too!
Madhu Puranik is the Founder and CEO of Revlitix, a revenue analytics platform that leverages AI to automate analytics for revenue teams. He loves sharing his thoughts about startups and all the matters relating to SaaS tools.
Disclaimer: The author is completely responsible for the content of this article. The opinions expressed are their own and do not represent IEEE’s position nor that of the Computer Society nor its Leadership.