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Unlock the Power of Data Analytics to Drive Business Performance

Mar 23, 2021

Data plays a critical role in everything from business optimization to customer experience. In the modern business environment, the ability of companies to derive insights from complex data sources is starting to become a key determinant of business success.

The voluminous data – both structured and unstructured is available, but is seldom used by organizations to be of any benefit in annual growth. If businesses want to remain competitive, they must start considering the potential of big data in creating value.

What delivers value is the analytics applied to the big data, which involves examining the data to discover insights and trends. Without analytics, the data is just a bunch of zeros with limited business use.

Companies that embrace analytics are positioned to differentiate themselves and create a sustainable competitive advantage over those who lag in adoption.

Why is data analysis useful to your business?

The value of data is linked to how it is used and applied – it can either have a very limited effect on a company’s performance, no impact on business outcomes, or can even spark long-lasting business growth.

Data Analysis can help give you not only an insight into your customer’s habits but can also be applied to help your business grow. It allows you to stay current with market changes and will enable faster and more accurate business decisions in real-time.

Organizational challenges with data analysis

Companies generally struggle with data analysis in two key areas:

  • How to use big data?
  • Analysis of the data and its implementation
1. How to use Big Data?

Organizations are investing more in technology and embracing digital transformation; they want to stay competitive and drive business growth. But this comes with challenges, mainly around data management.

Data is one of the company’s most valuable assets; data trends can highlight success and identify problems. And while most businesses know that data analysis can help them deliver insights and optimize performance, it is scarcely used to its full potential.

The Big difficulties of Big Data analysis

Due to the large volumes of available data, it often becomes difficult to manage this information and use it in a manner that’s going to deliver great results. Traditionally, companies had to rely on programs such as Microsoft Excel which has a great capacity for simple datasets, but with Big Data things change.

2. Data analysis and implementation of findings is what matters

Companies view data as the foundation upon which they want to deliver innovative products, improve operational efficiencies and build better customer experiences. They must carve-out a plan or strategy before applying data analytics to their business operations. Companies can use the insights they gain from data analytics to make well-informed decisions and drive successful actions. It gives you a 360-degree view of your customers, enabling you to better meet their needs.

Choosing a Data Analyst Tool 

Although there are several analytics tools available, data analysts must choose wisely to benefit their analytical efforts. Considering your company’s business requirements and learning who will be using the tool should be the first step – seasoned Data Analysts, Data Scientists, or non-technical users. The ability to turn large data into actionable insights using dashboards built using Tableau, PowerBI, & SSRS among other tools can be priceless for a company wanting to succeed in an increasingly competitive industry.

With a voluminous amount of available data, you can now have access to what your target market wants and needs. So look for ways how data analysis can improve your business operations. You might wonder why you haven’t exploited data analytics potential before.

KMG’s BI and Analytics expertise services can help you to streamline business processes, monitor emerging risks, and expand growth opportunities through insights-driven decision-making.

Let’s discuss your project. Connect with us.

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