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Often, this resource isn’t deliberately overlooked. Some businesses may just not have the expertise to make the most out of it or may consider data analytics too resource-intensive to ever fully invest in.
This can leave CEOs with a feeling of unease, as the data is just sitting there – much like unexplored oil reserves.
However, ignoring data is a mistake as data analytics is the future foundation of businesses’ decisions. Information, especially in the 21st century, is power. While some companies do everything they can to learn who their customers are and their behaviors, other businesses can lag behind.
So, in this complete guide, we’ll look at everything you need to know about data analytic services for your company. We’ll explain:
If you’re not interested in learning about data analytic services, want a how-to guide, or don’t have any business-collected data, then this isn’t the page for you.
But, if you:
then you’re in the right place. By the end of this guide, you’ll have every tool you need to decide if data analytic services is the right path for your business.
Have you ever used information about your customers or employees to drive company decisions? Maybe you’ve used customer preferences to adjust product supply or marketing strategies. If you have, you’ve already taken the first step towards Data Analytics.
Data Analytics is a service dedicated to analyzing and visualizing your business’ data, and it boasts data visualization features integrated into the digital ecosystem. It’s taking numbers and translating them into actionable insights.
When preparing data analytics for your business, you’ll need the following tools:
The most powerful benefit of data analytics is finding trends in people’s actions. With Data Analytics, you can comprehensively see what’s happening in your company. From finding the most utilized to least utilized web pages to peak employee performance times, you’ll have an accurate representation of your business’ status.
Data Analytics provides an accurate baseline, whether you’re analyzing the effectiveness of a marketing campaign, the drop-off point of leads, or the obstacles to employee productivity. Many inefficient processes are easily overlooked and can be brought to light with precise data, as it removes any guesswork.
Data Analytics can help you steer your business in the right direction. It lessens the risk of making incorrect decisions, as the data you collect provides insight into future behavior. You can use this information to choose the most effective actions for your company with the best possible returns.
You can interact with your data and see it in ways you may not have been able to see or interact with before. With Data Analytics, you can crunch numbers and find trends you can’t easily do by hand.
Understanding statistics and pure mathematics is the highest barrier of entry when people try to interpret data. You can eliminate this obstacle with the correct Data Analytics program. The information hidden within your databases is presented clearly, to the point where almost anyone can understand relevant details.
We’ve heard from our clients that while they believe it’s essential to get a handle on their data, building and designing a data analytics solution requires a significant time investment. For many, the time spent building a solution could have been better spent generating more revenue.
Data analytics solutions can be expensive. Not only do you need to invest in a tool, but in some cases, you might even need to hire analysts and data scientists to help get the job done.
Some systems might not work well with specific data analytics solutions. That can cause issues that either make data analysis take longer, or worse, some insights from your data might get lost in translation.
Chances are, your organization is already collecting data about your business operations. The problem is that you are also most likely gathering data from various systems and software, making data collection a time-consuming and challenging task.
Creating a data-driven culture requires your team’s involvement in ensuring your data is accurate and up to date. Unfortunately, a lot of analytics tools have low company-wide adoption.
Data analytics, unfortunately, doesn’t have a universal price point. The cost of implementing data analytics in your company will always depend on the software, the number of data sources, and the hours of analysis and support of your tech team.
Crunching big numbers requires sophisticated software. One of the necessary tools to invest in is the software for your data analytics program. Many different programs for data analytics exist, such as Tableau, Microsoft Power BI, RapidMiner, and more.
At ITS, we use Microsoft Power BI because we’ve found that it fits our needs the most. Power BI has a free desktop program you can use to explore the software. But for full use, you need at least one Power BI pro license, which costs $9.99 per month.
However, you may want to explore different offerings more, especially if you’re not a Microsoft-based company. The prices of each software vary widely, along with the features of each program.
You won’t be able to generate reports without data, so you must have a database with information in it.
For example, you might have a MySQL database for all your customers’ information or another database for all the sales you’ve made. Each database counts as one data source that you need to analyze.
The more data sources you have, the more costly it is to manage. You need to consider database maintenance and the complexity of integrating more than one database in one data visualization.
Knowing what you need to do - and then actually doing it properly - is an invaluable skill in data analytics. Your staff’s salary or your MSP’s per-hour charge for data analytics should be factored in when you compute the total cost of Data Analytics.
If you’re not paying money for your team’s expertise, your company will pay in other ways, such as lost time or incorrect reports.
Here’s a quick list of tasks your staff should know when using analyzing data:
So, with data analytics being a highly customizable service, what’s a good budget to set aside?
If you’re a small business dipping your toes into data analytics, setting aside $2000-$3000/month is a good idea.
For example, at ITS, we charge the following amount:
So let’s say you’re a company that needs 2 licenses, with 1 data source, and 10 hours of support. You have an extra 6 hours beyond the 4 hours included in the $1000 package, so your data analytics will cost you $2369.98 for the month.
But only you can know how much you’ll spend overall for the ability to analyze your data. Data analytics cost is unique to your business, and if you want to know the specific amount, you’ll have to look closely at all the factors mentioned above.
Information needs to be accessible by your data analytics software, and companies with physical records are barred from utilizing data analytics to its full potential. Databases must be compatible with your data analytics program.
Businesses with multiple departments with data-driven needs will see the value in having simple, clear, and easily understandable data reports. They won’t need to invest in training people to analyze information from databases and can skip straight to teasing apart the trends in the information.
Companies that successfully invest in data analytics have to see the purpose of their investment. With limited company resources, they prioritize accurate snapshots of their business status.
Lastly, they have to be able to absorb the cost of data analytics - both in money and in time. It’s challenging to analyze business data, and the effort put into data analytics is considerable if you’re still establishing yourself in your industry.
If there are companies who thrive with Data Analytics, there are other organizations better off circling back to data analytics at a later date.
Organizations starting out may not have enough systems to collect data about their customers, team members, or sales numbers. They may also be young organizations with a limited reach. These businesses can’t fully utilize data analytics and often note it as a future project.
Some businesses don’t see the value in data analytics and think their resources are spent better elsewhere.
It’s an entirely understandable choice if your business can’t invest in data analytics, as it requires significant effort and money. Sometimes, you can benefit from putting data analytics aside and returning to it when you’re in a better position.
You may be looking for that edge against your competitors or ways to optimize your organization and reduce inefficiency. Having a robust data analytics program can help with this, and more.
But at ITS, we don’t blindly recommend getting data analytics for all our clients. We always recommend scheduling a discovery call with our IT experts so you can get the right services for you.
Schedule a meeting with us to check if you’ll truly benefit from Data Analytics.
Schedule a meeting with us to check if you’ll truly benefit from Data Analytics.