Month: June 2015

What Employees Should Know about BI

Posted on June 29, 2015 by Doug Hoogervorst - Big Data, Blog, General

While business intelligence and all of the critical information that it provides your organization is primarily best-served by your decision makers, its value should be felt company-wide. Some departments aren’ t even aware that big data is being collected on their efforts, and thus, when conversations regarding BI strategies are brought up, they fail to recognize its true impact.

Sure, your data analysts or independent BI team will be at the forefront of obtaining, displaying and breaking down what all those numbers mean, but the real question is — does your team even care?

They should. If implemented correctly, your BI tools should help make your company run smoother and more efficiently. Knowledge is power and arming your entire organization of its value will not only bring your team closer together, but may also bring about changes from new perspectives that were once previously left out.

In this post, we’ll detail some of the important aspects of business intelligence that every level of your organization should be aware of and why.

The Strength of Big Data

Money makes the world go round, but what helps companies generate consistent business? Customer service, marketing and partnering with like-minded companies all serve this purpose. However, big data enables managers to precisely carve out an efficient budget that enables all of these factors to work collaboratively.

What some team members may overlook is the fact that it’s not just the access to data the matters. Too much data can sometimes be just as time-consuming and inefficient as not having enough information at your fingertips. The true value is the capability of analyzing the data that business intelligence tools provide.   These tools provide the information that shapes several things including budgets, which projects to tackle, when to tackle them and even salaries. From the warehouse to the shipping department to the front office, BI works behind the scenes to put the entire organization in context and make it easier for team members on the front lines.

Doing Work On the Go

The future of business technology as a whole is leaning towards having the ubiquitous capability of conducting business while being mobile. As many decision makers are more often traveling outside the office, this capability suits them very well. And the same goes for some of the employees, too.

If your organization is on the rise and is expanding in size, the role of “decision maker” will likely also extend to more players. And that’s a good thing since BI tools are catering to this need. Being able to conduct the same amount of productivity while spending less time spent behind the desk and more time in the field is an extremely attractive feature that wouldn’t be possible without the innovations in BI and big data.

Reporting Made Easier with BI

Generating reports for higher-level executives can be a stressful task for employees as it likely entails crunching numbers, making sense of them and explaining their significance. BI tools allow these employees to simplify the process without having to request the assistance of an IT specialist — taking time away from both parties.

Depending on your current BI software, the convenient, user-friendly makeup of the BI interface should be formatted easy enough to provide the high-quality data that’s needed without it being too difficult to manage.

Building a Closer Organization

All in all, the progress in the business intelligence community is bridging the gap between entry-level employees, managers and executives. The value of these connective tools offer a company openness that may have never been able to exist in past generations and its value cannot be underestimated.

The innovations aim to simplify the way work is done, offer more real-time information, grant employees more chances to work on-the-go and allow teamwork to be maximized. While all employes may not use your BI tools, their knowledge of the technology can at least help them understand that the statistics that come to their desks are based in high-quality tools that have been in development for several years.

Why Are BI Editors Necessary?

Posted on June 25, 2015 by Doug Hoogervorst - Big Data, Blog, General

When you were a kid preparing for important standardized writing tests or maybe your SATs in high school, teachers often tried to drill certain strategies in your head to help boost your performance: read over the question twice, check your work, show proof, etc.

While the platform for which these techniques are implemented has ultimately shifted as you’ve transitioned into an adult, the usefulness of these tools remain the same. You still check twice or maybe even three or four times before you press SEND on your emails, don’t you?

In the business of big data, the importance of editing cannot be underestimated. Giving your big data science team a helpful hand in making sense of all your complicated, quantitative data can be a huge benefit to your company’s leadership and throughout your entire organization.

In this post, we’ll highlight the perks of having a qualified BI editor on staff.

Take Responsibility Away from Higher-Ups

Managers aren’t glorified crossing guards who simply point and direct traffic within your department. A major part of their responsibilities include planning for the short- and long-term while trying to optimize your current processes. And in the planning stages, editing is crucial to devise a plan that is not only sound, but also digestible. The role of a BI editor is to allow the managers who oversee data collection to continue doing their job while simplifying the message for other data scientists and managers.

Furthermore, managers sometimes take on this role by themselves and turn out to not be that effective in clarifying messages. This creates more backup and traffic within your company that takes away from everyone’s job duties.

The subject of big data analysis can be a tricky as there are several complex components that make it up. It’s likely that managers aren’t fully-equipped to discuss the minute details as they are prepared to discuss the overall strategy and business intentions.

Simplify Your Most Complex Data

Professional and effective business intelligence editors have honed their skills in breaking down unfamiliar ideas into simpler terms. And this is a quality that’s desired in an industry full of intricate nuts and bolts.

When plans or projections have to be discussed among different departments, it’s desirable when a common language can be determined. BI editors should be able to bridge the gap between the numbers-minded data scientists and the forward-thinking, revenue-minded project planners.

Often times, higher-ups have the tendency to throw out blanket ideas without a full grasp of how to turn it into a reality. Before tasking data scientists with translation duties, a business intelligence editor can save time by turning those ideas into tangible sketches.

Smooth Out Overall Communication

Your BI editor should also be flexible among the different departments in your company. Between proposals, papers and projections, some of the best editors are able to even simplify complicated code. Programmers who are in charge of the technical background of your business intelligence solution can write code that’s more complicated than need be.

Dubbed refactoring, this tactic simplifies difficult-to-read code into a more digestible, fluid language that makes it easier for anyone who access the programming code. The BI editor’s need to comprehend analysis isn’t necessarily needed, as long as they can decipher what the programmer’s intent was and how to make the code actionable.

As many long-term marriages credit communication as the reason for their longevity, it serves a similar purpose in your business. Having a business editor to smooth out the dialogue between different departments can serve as a huge advantage by streamlining processes and developing a more unified company.

How Important is Big Data Really?

Posted on June 22, 2015 by Doug Hoogervorst - Big Data, Blog, Reporting

Much is discussed in business intelligence circles about the importance of being able to collect and analyze big data. However, less is spoken of how important it truly is in maintaining a successful business. With thousands being invested in big data tools from businesses of all sizes, it’s pertinent to understand how effective that investment is and where it can be improved.

In this post, we’ll dig into the nuts and bolts of how and why big data investments fall flat for some companies, but help others excel.

**Know Your Data before You invest**

What many business fail to remember is that simply purchasing a high-powered, multi-layered platform doesn’t necessarily mean that your work is now done. These tools are simply to enhance your current strategies and to maximize your data collection and analysis efforts. If you find that you’ve purchased a new data warehouse or software, but have yet to show progress since implementation, then it’s likely that you’ve wasted your hard earned dollars.

Before you bring on new technology into your company, you should be able to make use of the data you currently have. Without the knowledge of managing, analyzing and enhancing your data, the addition of a more complicated BI tool will only complicate things. And this is where many businesses fail. These tools are great additions if you already know what you’re doing, but it won’t do all the work for you.

In the same way children must learn how to divide regularly before they master long division, the same goes for your big data. In short, big data is truly helpful once you’re able to master how to manage all of your scattered information on a basic level first.

The Power of Evidence-Based Decision Making

Zooming into the concept of business intelligence, you’ll find that at the core of successful data management is the ability to identify the most important statistics and apply it to your company’s day-to-day decisions.

It’s these daily decisions that should be improved upon when you have a sound BI strategy. And evidence-based decision making isn’t a software you can buy that works on its own — it requires capturing the right data and knowing when and were to use it.

To help your company make the switch to this philosophy, this shift in mindset requires an overhaul in how your processes are defined, what data you’ll collect and a change to the way your business runs. Most importantly, those in your company who are the decision makers should have the critical performance data in their hands every day to allow them to maximize your business output.

Companies who exercise this method of utilizing their business intelligence typically employ these four strategies:

– Use one main source for performance information
– Allow decision makers to access real-time data
– Define & regularly optimize rules for data collection
– Tutor decision makers on how to use data tools

In summary, big data can be important if it’s used the right way. Don’t allow the chatter around the importance of big data influence your decision to invest in new tools if you’re not currently using healthy methods of data collection and analysis. Rather than trying to make use of big data right off the bat, start small. Make use out of the little data you have to help your key employees make healthier decisions on a daily basis.

Of course, enlisting the help of a data analyst may be a better first step before you make the choice of investing thousands in a technology that you may not know how to use to its full potential just yet.

Predictive Analytics: What It Is & How it Works

Posted on June 18, 2015 by Doug Hoogervorst - Blog, Uncategorized

One of the main reasons why any organization invests in business intelligence solutions is so that they can make well-informed decisions backed by real-time data and accurate analytics. Your technology should take into account the past and present measurements that you’ve collected to give you a proper forecast for the future — and this practice is called predictive analytics.

For a more technical definition, Webopedia defines predictive analytics as “the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.” In the same way a hypothesis is an educated guess, predictive analytics uses a variety of statistical techniques including data mining, modeling and machine learning to provide users with a reasonable expectation.

Its Role in Business Intelligence

There’s past, present and the future. With most business leaders having their eyes set on the future, predictive analytics serves as the perfect set of tools to plan accordingly. Key factors of a company’s infrastructure and outside factors have to be taken into account so they can make these decisions. Sales, trends, seasonal highs and lows, consumer buying behavior and more help analysts shape their projections.

It’s important to note that while this strategy can be a great aid for businesses and their choices, predictive analytics is based in possibilities, not facts. For data scientists or BI specialists, this means they can guide businesses in the right direction based on the odds of what the future may hold. The combination of a qualified and experienced BI expert with the big data collected from various sources allow companies to act with confidence in projecting the future of their performance.

Benefits of Predictive Analytics

A common example to explain the concept behind predictive analytics is homeowners and their mortgages. Mortgage lenders take into account factors like a resident’s recent payment history, credit, their buying or selling of other assets and more to plan for the next quarter of business.

These factors, likely given to decision-makers by BI analysts, allow them to devise a plan as to how they will use their capital. Perhaps more spending should be done on the promotional front, maybe the lender should disperse less money overall to prepare for foreclosures or loan defaults.

For organizations, this allows them to limit or contain the risk of the uncertainty that comes with running a business.

Software from organizations like SAP® “gives companies better insights in real time to increase understanding of customer behavior and improve response to customers and delivers tangible business value — ultimately driving profitability for organizations.”

Real Value

And that’s the major question most decision-makers will have: what’s the real value of this technology? Where’s the tangible effect that I can expect if I invest in this?

Remember, having data alone doesn’t mean anything. Many companies fail to realize that the true power in business intelligence goes beyond data collection. The power is in being able to successfully manage and store your data, being able to display it in a visually attractive manner, and more importantly, being able to use that data to make better decisions for the company’s future.

Predictive analytics is the portion of business intelligence that enables you to turn your data collection efforts into real results, if implemented correctly. For more information on how to select the right tools for your business intelligence or how to maximize the use of predictive analytics in your organization, contact one of our team members today to schedule an appointment!

3 Competitive Advantages of BI

Posted on June 15, 2015 by Doug Hoogervorst - Big Data, Blog, General

Running a successful business entails more than maintaining sales, providing consistent service and staying the course. If your company’s leadership is determined to maximize progress, then your eyes are likely constantly set towards the future. And part of having an informed foresight has to do with understanding your past and current economics.

As many businesses were once doing this with spreadsheets or Excel documents, the times have changed to allow for an easier method of collecting data — using business intelligence (BI) solutions. These solutions transform the raw data that’s collected into useful information that is then used to make high-quality business decisions.

Depending on your market, the use of a BI solution can give you the slight advantage over your competitors that offer similar services or products. In this post, we’ll highlight the ways in which implementing a business intelligence system within your company’s infrastructure can revolutionize your standing in your industry and serve as a competitive advantage.

Company-wide Finances Made Simpler

According to projections from Gartner’s researchers, 3 out of 4 companies worldwide will place major responsibility on business intelligence by the year 2020. And as BI has grown into a $16 billion a year industry, its importance is showing no signs of stopping. If you’re considering making the jump from filling out spreadsheets manually or relying on the dated technology that is Microsoft Excel, investing in a long-term solution may be your best bet for your company’s evolution.

One of the main areas where BI can aid your organization is the ability to see your corporate finances. As your company grows in size, revenue and influence, so should your data collection efforts. Keeping track of physical paperwork or basic documents on your computer may do the trick, but for a better scope of your current finances and to be able to make effective projections, it’s highly recommended that you consider using a business intelligence solution instead.

Planning for the future is just good business — and business intelligence allows you to plan with more confidence and with a simpler display of complicated information. Condensing the intricacies of your data in a simplified, intuitive display also allows you to save much time that can be used in other areas of your company.

Cut Wasteful Spending

With a wider view of your company’s statistics, BI also gives you the opportunity to locate areas of waste. In the same way trainers aim to help their clients trim the fat, your BI tools should be able to help you identify areas of waste so you can save your dollars for a more important task.

A major part of maximizing your revenue potential involves eliminating your waste — and this goes for both financial numbers and the time spent in making choices, devising plans and analyzing the past and present. By trimming the fat of your organization, you’ll have the ability to strengthen your company’s core and run a more efficient team with faster, better decisions at the forefront.

Quicker & Smarter Decision Making

Moving towards the future requires a game plan. Whether it’s short-term goals that must be reached by the end of the quarter or if it’s long-term strategies that must be met at the end of the year, help from business intelligence can go a long way.

Being able to view your company’s data in a well-displayed, easily-readable format gives you the flexibility to make decisions with far more confidence than if you were simply looking at your old school spreadsheets.

Time is money. And you don’t want to waste either. With that said, implementing a business intelligence tool or software will lead the way to faster decisions and more informed choices that will allow your management team to maximize profits, while cutting costs and gaining a fuller understanding of the complex financial dynamics that make up your organization.

4 Major Misconceptions about The Cloud

Posted on June 11, 2015 by Doug Hoogervorst - Blog, Uncategorized

The rise of cloud technology, applications and its other components have totally flipped the technology industry on its head. Businesses and individuals have both benefited from the cloud’s ability to store their data wirelessly and in a way that is accessible from any location with wireless internet capability. And as it becomes more ubiquitous, more companies are looking to implement a cloud IT infrastructure to gain a competitive advantage over their rivals.

And cloud technology has definitely given some business owners the advantage by being able to utilize a more agile infrastructure that not only saves space, but creates more opportunity for where and how work is done. On the flip side, as many are making use of this new age resource, some are still left in the dust and fail to fully comprehend the mechanics of the technology.

That’s why we’ve broken down the most common misconceptions to clear up some of the characteristics that cloud technology can offer you.

It’s Less Safe Than Other Methods

The literal imagery of a cloud storing your information makes it easy to assume that it’s in a vulnerable location that can easily be accessed. However, this is not the case. In fact, according to Gartner, more security breaches take place in on-premises data center environments.

Cloud storage areas are easily tempting as they store the information of several organizations, but additional security measures like encryption serve as an extra layer that prohibits access even when a cloud center’s security is compromised.

Once You Switch, It’s for the Entire Company

Another common misconception is that once a business decides to switch to cloud computing or storage, that is also applies to every possible area of the company as well. And that’s not necessarily the case. It’s absolutely depends on your company’s unique needs, current infrastructure and capacity.

It’s imperative to weight your options and list out the benefits of both cloud and non-cloud technology. For some processes or areas of your business, having an on-site solution may work best. To maximize your efficiency, many businesses are employing a hybrid structure where different vendors handle different tasks. Whatever works best for your business should be the top priority as a uniform platform may not be perfect.

It Will Cost More Than On-Site Storage

This is also not necessarily the case. Switching to cloud takes away the financial need to hire an IT team to manage the technical aspects of your business. And in the long run, the responsibility of managing your cloud computing is put in your hands and will save you in the long run. Of course, however, this depends on how you will use the cloud.

For example, if you decide to build apps to reduce the need to purchase new hardware, this can amount to more than if you stayed with your previous infrastructure.

Productivity Will Spike Automatically

Just because you’ve implemented a new cloud structure doesn’t mean not much work is needed to see results. While some companies build applications that are hosted on the cloud, it can be a huge benefit to spend time figuring out how it can be best used. Combining both cloud and local storage to host your app is suggested to give you some flexibility and redundancy when using the app. It can certainly help productivity, but don’t bank on the cloud technology to do all the work for you.

In summary, making the switch to cloud, especially for your business intelligence needs, has the potential to greatly improve and simplify the way your company operates. With the use of a specialist to guide you through the process and an eager team that’s ready to maximize their performance, the possibilities for growth and productivity are endless — if implemented the right way, of course.

Don’t allow these misconceptions hinder you from exploring new options, but rather, let them guide you in making the right choice for your business, employees and customers.

4 BI Improvements You’ve Been Waiting For

Posted on June 8, 2015 by Doug Hoogervorst - Big Data, Blog, General

As we have successfully made it past the midpoint of 2015, the year is shaping up to offer several new enhancements in big data and analytics. Much of the improvements that come in the BI community comes in the form of either simpler, faster or more — and this improvement trickles down to businesses of all sizes across the globe.

This is why it’s exciting to see what new trends will emerge, what traditional strategies will be flipped on its head and who will be the pioneers in implementing these new improvements. Here, we’ll break down four major changes that are soon coming our way in the BI community and how to implement these strategies within your system to benefit your growing business.

Datafication

Datafication is what you get when you’re able to display, track and analyze individual processes with your technology. While this isn’t necessarily revolutionary in terms of business intelligence, datafication is picking up steam with more real-time capabilities being used and valued.

A perfect example of this technology is Fitbit, the wireless, wearable activity tracker that “measures data such as the number of steps walked, quality of sleep and other personal metrics.”

It’s datafication that makes this information visible all of a sudden via a device that’s made to specifically designed to display it. This data goes a long way in tracking movements and monitoring health concerns for those trying to lose weight, stay fit or simply desire to monitor their personal health.

And this is just the base level. Datafication opens the doors for businesses to optimize tracking. The use of sensors, real-time technology and a full-fledged analytical display can serve as a tool that businesses can use to monitor their own processes with ease.

Community

Long gone are the days were one person would control all the analytics capabilities. Instead, we’ve evolved to the point where IT spending has become more of a collaborative effort where each analyst’s input should be valued and respected as there can be several paths to a solution.

Analytic organizations are coming to a point where community is in charge, not the individual. With scattered sources, educational backgrounds and data perspectives, this means data teams will need to implement internal social networks where collaboration is the more effective method of data analysis, as opposed to disparate ideas taking longer to come together.

Analytics Ecosystems

One of the first steps in establishing a comprehensive big data infrastructure entails using the varying inter-dependencies of your company and synchronizing them. Viewing your company’s BI solutions as an ecosystem goes a long way in collaborative efforts to make use of the big data that you collect.

Take it from IBM Data Magazine:

“A successful big data analytics program requires many interacting elements … data, which has to be integrated from many sources, different types of analysis and skills to generate insights and active stakeholders who need to collaborate effectively to act on insights generated.”

As a “network of interconnected and interdependent entities,” having a well-defined ecosystem helps to alleviate the path of big data while making it useful for every element of the system. There are three interacting spheres that define the analytic ecosystem including the core, extended and external.

Data Privacy

The subject of data privacy, while evolving, is still trailing the evolution of our technology. With the necessary involvement of governments and politicians, it’s likely that the laws that need to be stringent will become so far after they’re initially needed.

The private sector also has a responsibility in maintaining transparency with their customers and partners as to where their information is being stored and if it’s being distributed to a third-party.

As more conversations are had surrounding the subject, the coming years should offer more solutions that protect consumers while holding companies and governments accountable for their actions.

Data Privacy: What’s the Big Deal?

Posted on June 4, 2015 by Doug Hoogervorst - Big Data, Blog, General

For those in the private sector, collecting customer information serves as an incredible tool to not only engage with your customers, but to also cater to their needs. The amount of information that prospects are willing to give you also allows you to gauge their interest in your services.

However, while your website may be a primary source where clients and prospects share their information, many are questioning the actual use of this information.

Is it really being used to just send company emails or could their personal information end up in the hands of a third-party?

Data privacy is a growing concern for those on the receiving end of businesses who make use of big data tools. While collecting data is ultimately voluntary for prospects and consumers, where it goes after it is given is the main concern. And who should be in charge of maintaining the order?

It’s clear that businesses shouldn’t be the ones in charge of maintaining the ethical order as the conflict of interest is clear — which means the responsibility can only be left in the hands of our government.

Data Privacy & The Government

When Edward Snowden revealed the telecommunication spying efforts done by the NSA on millions of American Verizon customers, it sparked the conversation surrounding the question of how secure is our information really?

Both the White House and the Federal Trade Commission have addressed the topics and are striving to make more stringent policies in protecting big data, but the topic still remains unsettled. But perhaps it shouldn’t be unexpected that the issue is ongoing. It’s especially difficult to monitor big data privacy concerns when the entity that is supposed to establish and maintain judicial law is overstepping its boundaries by wiretapping its own citizens.

Areas of Improvement

When you download a new application for your phone or new program for your desktop, you’ll likely have a Terms & Conditions page that requires your approval in order for you to use the new software. Companies often use heavy-loaded jargon to discourage users from reading the script entirely and it’s here where their attempt to be transparent smoothly slips the mind of the user.

As a business who is likely collecting big data, it’s advised to be as transparent as possible — without the lengthy distractions. Keeping your customers and prospects in the loop of where their personal information is going is key to building a solid relationship as the question will likely come up if your customers are aware of the growing concern of data privacy.

Data Brokers

The companies that purchase consumer information and analyze their purchasing behavior are known as data brokers. Once they’ve collected this information, they sell what they’ve gathered to companies who are looking to maximize their marketing.

While the consumer may or may not have signed off on this use of their data, their information is still out there being used.

Steps to Tighten Up Your Data Security

Make sure your cloud technology is up to par. This should be one of your first steps in protecting your most important big data.

As these cloud storage initiatives are affordable and flexible, it serves as the perfect medium to house your customer/prospect information. While great, it still has its limitations.

Keeping your information safe from intruders is necessary as the information is likely stored in a public server, where it’s easier for intruders to infiltrate. Moving to a public cloud source gives you an extra layer of security where data is kept safe and visible to only you and whoever you assign responsibility to.

Another measure one could take is to sanitize your data. According to a data warehouse specialist from Emory University, Amy Dean says, “apply filtering, cleansing, pruning, conforming, matching, joining and diagnosing at the earliest touch points possible.” This relates more to the analytics portion of data storage and helps to ensure the quality of information that you’ve collected is correct and up to date.

Lastly, the most transparent way to ensure the ultimate data privacy is to allow your clients and even prospects to view the data you collected about them. Allow them to change information as they see fit — without making it a costly or difficult process. While this may seem unlikely for any company to do, in terms of transparency, it is the most fair.

IoT — Is it the Next Digital Revolution?

Posted on June 1, 2015 by Doug Hoogervorst - Big Data, Blog, General

There was once a time when the idea of having a device in your pocket that could make phone calls was unheard of. Then, there was a time when the Internet was just going to be a short-lived idea that only benefited scientists and researchers. Now today, everyone is waiting at the edge of their seats for the latest technological innovation — and more importantly — no idea is too far fetched anymore.

One of the latest major trends in technology that’s affecting businesses worldwide for the better is the Internet of Things (IoT). By combining the capabilities of billions of devices, IoT is changing the way data is collected and shared globally — simplifying the workload of workers and streamlining several processes.

What Exactly is IoT?

IoT is the connectivity among devices — computers, mobile phones, machines and practically any device with internet capability. It started with home automation, which was often used for a synchronized entertainment system or to maintain a safe kitchen with automated kitchen appliances that would respond to safety issues or cook recipes — all with less input from humans.

How Will it Shape the Future of Technology?

Now that the trend has been picked up and successfully applied to several industries, the concept has flourished and is only showing signs of growth. In fact, Gartner forecasts that “4.9 billion connected things will be in use in 2015, up 30 percent from 2014, and will reach 25 billion by 2020.”

Furthermore, the amount of revenue that the big data and technology sectors will generate will also be on the rise. According to a recent IDC report, “the big data technology and services market will grow to $41.5 billion through 2018 — six times the growth rate of the overall information technology market.”

A major part of IoT’s development that is often overlooked is where the true power really is. As many argue that it’s the devices themselves that offer this major growth, the more sound explanation is really based in the connectivity that IoT offers.

The technology is not only seamless, it has the potential to be global, maximize real-time data capabilities and offer humans a performance partner that doesn’t have to be put on the payroll.

In the same way that the Industrial Revolution paved the way for high-quality, life-simplifying innovation, IoT has often been compared to being able to accomplish the same things.

How the focus of the country shifted from farming to machinery, IoT has the potential to change the employment culture from manning machinery to clocking in at work on a device to oversee the machines work on their own.

Steps to Take to Maximize IoT

Investing in relevant technology and having an open mind serves as a great benefit should your organization care to get involved with the Internet of Things. With the proper implementation, use of trial and error and consulting with technology experts, your business stands to gain several positive effects, including:

– Higher quality service
– Increased production
– Streamlined maintenance requests
– More access to real-time data
– Quicker & better decision making
– Less physical work & more oversight duties

As a business who is likely trying to simplify their operations while implementing new technologies, making use of IoT is a trend that you do not want to neglect. Being left behind as the trend’s momentum pushes your industry forward is a spot where you do not want to be in as it may lead to you having to invest more time and energy later on.

Instead, consult a BI specialist or big data analyst who’s well aware of how implementing IoT’s features within your business can truly revolutionize your company for the better.