The datapine Blog
News, Insights and Advice for Getting your Data in Shape

Common Business Intelligence Challenges Facing Entrepreneurs

Top business intelligence challenges by datapine“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith

Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. The power of data analytics and business intelligence is universal.

In the Age of Information, forward-thinking organizations are reaching exciting new levels by leveraging the capabilities of innovative new business intelligence (BI) solutions. And the success stories are seemingly endless.

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements.

But while BI is a genuine driver of organizational success, getting it right comes with its fair share of roadblocks.

Here, we’re going to explore the dynamics of BI challenges and look at the top 10 business intelligence problems facing today’s entrepreneurs and company leaders. In doing so, we aim to give you an insight into what to look out for and how to tackle the core challenges of business intelligence, one initiative at a time.

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How Restaurant Analytics Can Make Your Business More Profitable

Restaurant analytics by datapineThe restaurant industry is one of the most competitive sectors on the planet. Not only do we as a species need to eat and drink to survive; communal dining is an experience that people have cherished for centuries. And as we love to dine out whenever we can, there is a great deal of demand for restaurants in villages, towns, and cities across the planet.

But with such demand comes a significant level of saturation, which means that to thrive – or indeed survive – in the restaurant biz, getting ahead of the competition is essential.

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Top 14 Must-Read Data Science Books You Need On Your Desk

The best 14 data science books by datapine“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert

We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish.

The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale. By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. It is also wise to clearly make a difference between data science and data analytics in a business context so that the exploration of the fields bring extra value for interested parties.

That being said, here, we explore 14 of the best data science books in the world today, highlighting the very features, topics, and insights that make each of these institutional data-centric bibles crucial for the success of your career and business.

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Introduction To The Basic Business Intelligence Concepts

Learn the basic concepts of business intelligence by datapine

 “Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author

In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

According to Better Buys, 85% of business leaders feel that using big data to their advantage will significantly improve the way they run their companies – and they’re not wrong.

By gaining the ability to understand which datasets are relevant to particular goals, strategies, and initiatives in your organization, you’ll be able to identify trends or patterns that will help you make significant improvements in a number of key areas within the organization. This concept is known as business intelligence. …

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Designing Charts and Graphs: How to Choose the Right Data Visualization Types

woman looking at different data visualization types on a dashboard

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. But while doing so is easy, a great dashboard still requires a certain amount of strategic planning and design thinking.

Knowing who your audience is will help you to determine what data you need. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use. Let’s assume you have the right data and the right data visualization software. Now you need to choose the right charts and graphs. Hopefully, this post will help you create better data visualizations and dashboards that are easier to understand.

But first, we will start with the thinking element of data visualization graphs – with a series of questions that will enable you to choose the very best types of data visualization.

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