Implications for the Data-Driven Businesses

What do businesses achieve, once they start their journey to become a data-driven enterprise?

In this blog, I will discuss what you would obtain if you would become a Data-Driven business.

Being data-driven is no longer a choice, rather it is a must-have if you want to stay relevant. Data is the new oil to explore the full potential of an organization and its capabilities. Once the organizations use it to their advantage, they can not only lead with data-driven decision making but also to deliver more digitally enhanced experiences to all the stakeholders and customers.

Being data driven is no longer an option, it is a strategic choice to remain in the business and stay relevant.

By leveraging huge volumes of data, organizations today are able to speed up their decision-making process, have better and actionable insights that drive benefits to the business. It won’t be wrong to say that data and AI are empowering and influencing businesses irrespective of their sizes to become data-driven than ever before.

Organizations are using data intensively in their move towards digital transformation in order to make more informed decisions, unlock new business opportunities and attain business growth. It gives the businesses power to capture the untapped market share by encouraging them to redefine and re-align their strategies to connect and engage with their customers, partners, and stakeholders by leveraging the digital data footprint. This results in businesses being pushed or motivated by various factors to become data-driven. Despite the challenges that they face, the organizations that become data-driven (if you are wondering how you could become a DD-Business, these are the changes that you need to implement), will enjoy at least the following benefits:

• Enhanced agility: With the right infrastructure, practices, and technologies in place, data analysts are able to get and share insights with the business faster than ever before. This helps the business leaders to make decisions based on data and meaningful insights rather than on their gut feelings. This enhanced agility of the business pays back to the enterprise in many aspects.

• Enhanced efficiency and improved effectiveness: Data and analytics result in taking the business to the next level of operations, resulting in efficient and effective decision making and execution of business functions.
• Increased growth and revenue: Data-driven business can outsmart their competition, creating opportunities for innovation, which result in potentially new (or extended) revenue streams as well as growth for the business. This comes to the light, thanks to data and AI exposing and uncovering yet unexplored territories of the business.

Consistency: Working with gut feelings worked well in the past, it might be working for you even now, but what if someone leaves or you have significant changes in your enterprise. If you become fully data-driven, it would help you to achieve consistency in all your operations.

Data helps you to speed up your decision making process, have better and actionable insights to drive benefits to the business.

Scalability: It becomes easy for the business to scale different efforts and initiatives as they have everything recorded in the form of data and have the mechanism which helps them to reproduce, learn from the past and do some corrective actions on the fly.

Longevity: Increased long term success in the market comes with being consistent which is in turn achieved by being data-driven, which ensures that everyone is involved and is knowledgable about the company. This helps the company to stay on its own, even if someone leaves.

Awareness: Data creates more awareness across the organization about customers being happy or not, employee involvement, what’s working and what’s not, etc.

Responsiveness: Data has the potential to make you more responsive and proactive. You can identify trends before they occur, consider for example, before launching a product you can figure out whether it will be accepted or not based on historical data.

Automation: Huge amounts of business data can be analyzed and fed into business processes for automated decision making. With historical data being available, processes can be optimized, automated and internal operations can be improved through Robotic Process Automation.

Businesses that employ data and analytics into their business, will at least gain on the following three fronts 1) Automation, 2) detailed insights and 3) faster and improved decision making.

In the next blog, I will discuss the types of different data-driven businesses that had truly benefitted from data and AI.

©2020, Chan Naseeb. All rights reserved.

Thanks for Reading!

If you like my work and want to stay connected…

1. The best way to do that is by following me on Medium.
2. If you want to write on medium and submit it to a publication. Check here for Data and AI and for more general and diverse topics, you can submit your articles to Diversified Knowledge
3. Follow me on Twitter here. I’ll be posting lots of updates and interesting stuff there!
4. Also, subscribe to my YouTube channel here!
5. Follow me on LinkedIn here.
6. Check out my website.