Peerview Data Insights

If you’ve ever driven in dense fog you can probably remember the feeling of intense apprehension you felt as you drove along, unable to see anything around you. At any given moment you could be extremely close to hitting something or someone — or you could be completely fine with plenty of wiggle room and room to drive freely.

Either way, you’d never know until you got out of the fog. It’s all guess work.

For any small business or startup, guess work is the name of the game. There is no cookie cutter method to the madness, no drawn up or fool-proof plan on how to operate or approach threats or pain points to your business. You do what you can, but sometimes the only thing that’s clear to you is that you are operating in what feels like a fog.

Choosing to benchmark and analyze the data that your company accumulates is like choosing to utilize solar power. The sun is going to shine no matter what, so you might as well turn it into a resource.

Everyone says they're busy these days. It's the knee-jerk response of the centry. "How are you?" "So busy!" 

Some might say that using AI-driven analytics software is the best way to go about dealing with your company performance data.  After all, what's not to trust about AI? Isn't the whole appeal of AI that it does everything seemingly more quickly and flawlessly than a human ever could?

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Companies are generating more data than ever before, but most of it just sits there. Getting good insights from it is often too hard, too costly or just takes too much time.

When you work for a small company or a start up you find that, more often than not, there is not a set in stone way to do things. Everything comes down to a lot of trial and error and finding ways to “perfect” whatever you find works.

Companies are generating more data than ever before, but most of it just sits there. Getting good insights from it is often too hard, too costly or just takes too much time.

Busy season is upon us, and if you’re like most small business owners, you’re finding yourself feeling a bit frazzled. No matter how prepared you think you are, it can still feel like you’re scrambling. And amidst it all: you still have a business to run. How are you supposed to think about strategy and analytics when there’s so much to do?

To download the entire study from Forbes, please click here.

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It's a well-known fact that data analytics can boost your company's productivity and efficiency across the board. We, at Peerview Data, stand firm in that. 

A recent Inc. article shed some light on seven specific areas that have the potential to benefit greatly from utilizing data analytics. From improving service performance to reducing costs and getting the most out of the value of your customers, the article's creator, 

Companies are generating more data than ever before. When it comes to analyzing and utilizing this data, many companies are under the false impression that getting insights is difficult or time consuming. To help companies better understand how Peerview Data’s process of Big Data, analytics and benchmarking software process works, we're continuing a series of blog posts that examine the individual performance metrics that are at the heart of this analysis.

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To download the entire study from Forbes, please click here.

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In a recent article from Small Business Trends, ten of the top reasons that small businesses struggle or fail were highlighted. Starting a business and operating as a small business can often times be hard to navigate and scary, no matter how confident you are in your product and ideas. Through this article, author Jeff Charles lists the complications as follows: 

1. Healthcare
2. Government Regulations
3. Federal Income Taxes
4. The Economy 
5. Tax Compliance
6. Cash Flow
7. Staying Passionate
8. Not Diversifying Client Base
9. Growth vs. Quality
10. Hiring New Employees

We finally made it to Friday, everybody. In case you missed anything this week, here's the content we shared and passed on to you! 

To download the entire study from Forbes, please click here.

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