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

Getting Started With Big Data And Business Intelligence For Small Business

business intelligence for small business

In the past, business intelligence was a privilege of large companies who could afford to maintain teams of IT specialists and data scientists. But in the last decade, as technology has developed rapidly, software has become not only more lightweight and powerful but also more accessible. Small businesses can use the same tools as main market players and face their competitors. New self-service tools prove that business intelligence is no rocket science but rather a useful tool to help turning data into informed decisions. Now every company can harness the power of modern BI software to raise their bottom line. But what exactly makes business intelligence indispensable?

In this post, we aim at helping you benefiting from business analytics for small businesses. To do so, we gathered the most important reasons why business intelligence for small business is a smart choice , and how to implement a big data strategy for small businesses.

Exclusive Bonus Content: The Rise of Self-Service Analytics Tools
Learn how innovative self-service analytics tools empower technical and non-technical users alike to reveal the insights behind their business data.

What Is Small Data Analytics & How To Make The Most Out Of It?

It is true that small data is more accessible than big data, but it doesn’t mean that utilizing it effectively doesn’t require any effort. If you want your business to achieve better results, it is important to acquire the right mindset and become a data-driven organization. This requires you to change the way your company manages its daily operations from the top executives down to the floor level.

There are many definitions of small data trending around the web – in most cases built upon its opposition to big data. Other definitions accentuate the more human side of small data as it is usually generated and entered into the system by a human rather than a machine. Moreover, this type of data is usually contained in operational database – your CRM or ERP are not big enough to be called big data. Moreover, it can be managed within a MySQL database – and the crunching power will suffice. Small data analytics is based on the notion that a business should efficiently use the resources it already has and avoid overspending on additional technologies or external infrastructure.

In his Forbes article, Mike Kavis takes a slightly different take on small data, highlighting the fact that it includes only very specific attributes. It is used to determine current states and conditions, which can be generated for example by sensors deployed on wind turbines, small packages or attached to drones to provide very specific information – about location, temperature etc. All these small data sets collected in real time create a bigger picture in the form of big data sets that give us a historical, multifaceted view.

Small data can provide you with insights that will serve as key factors determining your decision-making process. However, because of the way organizations approach small data, they tend to be overlooked in the overall data management. There are many reasons why you should treat the non-big data seriously, we list a few of them:

Focus on target – Big data sees the overall performance, small data drills down to uncover specific actions that lead to improved results. All you need to do is start from identifying your KPIs and people responsible for each status and assigning them the task of tracking the development of a particular indicator.

Actionable – Big Data reports provide information on every department and every metrics which can be extremely interesting. If you want to get real value from your data, it must inspire you to make quick strategic and organizational changes: it should be problem-oriented and not too general and overwhelming.

All about what is happening now – Small data provides focused real-time information that allows you to spot trends immediately and act accordingly. But big data also has an ace up its sleeve – the historical insights. If you need past data, or want to juxtapose the present with the past, you cannot do without big data.

Delivered ready to be served – Small data is delivered to you in the format of easily digestible data bites. Small data sets are already targeted and strategic and can be sent to key decision makers or employees responsible for particular task. Your coworkers will be more likely to utilize reports that will deliver them clear and meaningful insights on the spot.

8 Tips On How To Get Started With Business Intelligence for Small Businesses

Eight Reasons Why You Need to Get On Board with Business Intelligence for Small Business

1. Fulfill different needs

New business intelligence tools are designed to cater for versatile needs of customers from different industries. As they are designed to be operated entirely by their users, they can easily adjust to many types of needs. Smart self-service BI tools allow you to analyze multiple data sources on your own. Consequently, your company must choose and pay for just one tool that will address problems of many departments. Each department can connect their own data sources, for example marketing – Facebook or Google Analytics, whereas Sales – CSV files or SQL databases, to pull out business insights that are most significant to them. Moreover, BI software providers usually offer a few types of product packages – you can choose the one that matches your small business requirements in terms of its price and features.

These tools are particularly beneficial for fulfilling the various needs of a small business or startup. A jack-of-all-trades culture is part of the fun of being in small business. It can feel like everyone is involved and invested at every level of the organization. It also has a tendency to create a few knowledge gaps. With everyone covering multiple roles, some expertise areas may lack depth. Data and analytics is a great example. Many small businesses can’t afford to have a full-time staff member dedicated just to business intelligence. What they need is multiple staff members acting as part-time analysts for their departments and roles. Business intelligence for small business makes this possible.

Easy-to-access web-based dashboards are the easiest way to empower small business employees and owners. A self-service BI solution shouldn’t require extensive training, programming knowledge, a data scientist, dedicated IT staff or a complex data infrastructure. Staff armed with easy-to-build/drag-and-drop, actionable and effective business dashboards can successfully tackle a wide range of department and organization issues across the board. Instead of wasting time trying to figure out “who might know this answer” or “who can pull the necessary data,” employees can proactively track their own Key Performance Indicators (KPIs), identify cost savings and make strategic decisions.

Don’t forget to test-drive your business intelligence – always make use of the free trial so you can be sure you and your team will be comfortable using it.

2. Increase transparency and relationships with customers

If you want to consolidate your presence in your customers’ minds and make them stay with you, you must respond to or even forecast their needs. Acquiring and maintaining a base of loyal customers is particularly important for small businesses – we all know that retaining a customer is much cheaper than attracting a new one. Business intelligence for small business helps to gather data about your customers’ behavior and structure it in a clear form so that it can be analyzed fast and easy. With insights about your customers’ behavior you can make effective business decisions.

Using data to best serve your customers is only part of how small business analytics improves customer relationships. Your customers want data. Transparency is the name of the game these days. Data improves negotiations and fosters customer relationships. For instance, BI tools are providing transparency to previously opaque procurement processes. The complicated nature of the procurement and supply lifecycle often creates strained businesses practices along the lifecycle. Both sides can now easily access these data points through BI software. Procurement can quickly analyze supplier performance and provide feedback on how they are being evaluated, performing against the criteria, and performing vis-à-vis their competitors. There is also easy to prove that the data by which suppliers are being measured is accurate, unbiased and up-to-date. Procurement can also provide suppliers with purchases and demand patterns ahead of time.

Exclusive Bonus Content: The Rise of Self-Service Analytics Tools
Learn how innovative self-service analytics tools empower technical and non-technical users alike to reveal the insights behind their business data.

3. Analyze and easily combine various data sources online

Continual access to online dashboards means that you and your colleagues will always have the information you need, regardless of your location. You don’t have to engage an IT team and wait until they analyze your data and generate a report. It’s an opportunity for small businesses to save some money without giving up on the quality of analysis. One of the best reasons why you need a self-service BI tool is that it provides you with data immediately, presenting it in a clear and neat format on your personal device. Data can be accessed on the fly for real-time analysis and immediate actionable insights, giving your team a competitive advantage. Business Intelligence for small business means having the right data at the right time for a fast and fruitful analysis.

Business Intelligence also gives you a one stop shop for all your various data sources. A business’s data may be small, but it can still be complicated. This often results from various disparate data sources. A small business may have various data sources. including Google Analytics, data from a CRM, a database, and Excel spreadsheets. BI tools like datapine can bring all this data under one roof. This allows you to analyze it all online, in just one place.

4. Read your future with Predictive Analytics

Customer intelligence is the practice of determining and delivering data-driven insights into past and predicted future customer behavior. To be effective, customer intelligence must combine raw transactional and behavioral data to generate derived measures.”

How is it possible? BI is not a crystal ball but a smart tool that will help you reveal some trends in your past performance that could otherwise go unnoticed. You can identify crucial trends in your data with the potential to unlock new growth opportunities. By analyzing your past performance in context and trying to understand the factors that influenced the best or worst results, you can discover the key to the future growth.

Predictive analytics is particularly powerful in the retail industry. Retail companies are using point-of sale, marketing, web-data, social-media and loyalty data to make informed decisions about pricing, promotions and assortment management. Retail analytics can predict purchasing trends using this existing data. Retail data is also revolutionizing demand forecasting and price optimization. All these functions are crucial to a retailer’s success.

5. Use the right data visualizations for your data stories

The human brain is wired to process information visually, making visualization one of the best ways to explore and understand data, particularly when presenting it to customers, investors or other stakeholders. Say goodbye to stagnate reporting and hard to read spreadsheets! While Excel and PowerPoint remain important business tools for many, their interactivity options are limited. Interactive dashboards quickly engage end-users with a wide range of technical acumen and provide an intuitive experience and easily digested insights. That’s why to present data in a persuasive way and not to lose your audience’s attention, it’s advisable to use a data visualization software – best choice of business intelligence for small business. With this smart solution you can display business data on compelling charts without spending too much time on chart formatting and design. The tool does it for you – your task is to analyze and make the best of your data.

Dashboards provide ROI by quickly highlighting trends and unearthing irregularities. With the right BI tool small businesses don’t have to rely on the in-house data experts to run analyses. An easy to use dashboard tool allows all employees to be their own analyst. More importantly employees can interact with the data in real time.

Remember not all dashboards are created equal. There isn’t a dashboard glass slipper out there. One dashboard won’t deliver all of your dreams. A dashboard should address a particular problem, question, or data story. It should be focused, visually appealing and simple to digest. Small businesses need to ensure they have the appropriate dashboard portfolio when launching their business intelligence.

Sales Performance Dashboard Example by datapine

The sales performance dashboard above is a great example of a focused dashboard. This dashboard empowers sales teams with the right data and visualizations. No matter if they are on the road or in the office, sales managers see at a glance whether or not their team is meeting their individual goals. While this is a beautiful dashboard, it is pointless for your operations manager. They need their own focused BI. With the right tool, you can arm every department and hybrid departments across your small business. Remember, the right data visualization type tells the right data story. Telling the right data story is key to any businesses success.

6. Foster collaboration and cooperation

As we’ve already mentioned, business intelligence allows you to access your data online anywhere you are and run even most complex queries without IT support. For small businesses where one person wears many hats, it means that your employees can pull out the particular piece of information they need even if it exceeds their immediate area of expertise. In this way members of your team are empowered to view the same data from multiple locations and make data-driven decisions together. Business intelligence for small business doesn’t require any programming knowledge; neither you need to invest in SQL trainings. All you need to do is create a beneficial dashboard culture in your company that will make everybody, from Head of Sales to your latest intern, understand that regular data analysis pays off. Gathering high-quality data is not a one-time effort and you must re-evaluate your goals periodically to determine whether your BI setup is helping you achieve them. The more you empower individuals to use and share data, the better their access to vital customer and financial information, then the more effective they will be in contributing to the achievement of your goal. BI solution that requires a lot of IT intervention is not feasible for a small business, but the self-service BI solutions are within your reach.

As we said, smart BI tools increase cooperation by providing data access, wherever employees are. The global market is evolving and so is the workplace. To decrease overhead costs and increase employee satisfaction companies and small businesses in particular are increasingly turning to nontraditional methods. Remote work possibilities are a big part of this new landscape. Indeed, remote working is catching on quickly across the globe. In the U.S. alone, between 2005 and 2015, the number of people choosing to work from home, or telecommute, grew 115%, according to the latest data from Global Workplace Analytics. This amounts to approximately 3.7 million remote workers at last count, or 2.8% of the U.S. employee workforce. While the benefits of remote work are tangible, without the right infrastructure it can hinder collaboration and productivity. When it comes to data analyses, web-based BI solutions solve this issue. The right solution allows employees to access their performance and business dashboards from anywhere, at any time. This keeps staff on the same page, no matter where they are.

7. Secure your data

Many BI tools offer data warehousing solutions which involve moving all or part of business data to secure data storage facility. Although the idea of moving sensitive corporate data to a cloud-based data warehouse may act as a deterrent to some more analog managers, cloud solutions are a gaining more and more popularity. Implementing the cloud means that you put your data in excellent hands of IT professionals who take care of it 24/7. Cloud storage providers must comply with strict security standards and are subject to regular security audits. Cloud-based data warehousing means no more worries about lost laptops with confidential data. As your data is stored in the cloud, the process of backing up and recovery is simplified and doesn’t entail big expenses.

8. Make better business decisions faster

It is no question, starting a business is hard work. If your business is a startup, it can be even harder. Startups are paving paths in unknown territories while having to constantly prove their worth to the market and investors. The work doesn’t stop once a startup gets off the ground. Businesses need to continually make all of the right decisions to move on from startup status to an established industry presence. To make these decisions and grow a business, they need the right information. The good news is the growth in the BI market has given businesses of all sizes unprecedented access to the information they need. They just need the right tools to access it and clear out the noise.

All startups are small businesses, but not all small businesses are startups. Telling the right data story is especially significant for startups. Startups are a unique breed. They don’t play by the rules and neither do their KPIs. Startups need to ensure they are moving in the right direction and quickly change paths if they aren’t. Successful startups do this by constantly monitoring and analyzing their data. To survive, startups also have to effectively translate this data story to investors, board members and other stakeholders to survive. Progressive startups are turning to business intelligence for small business to ensure they have the right tools to analyze, visualize and present their data.

Exclusive Bonus Content: The Rise of Self-Service Analytics Tools
Learn how innovative self-service analytics tools empower technical and non-technical users alike to reveal the insights behind their business data.

4 Tips For A Big Data Strategy For Small Businesses

A Strategy of Big Data for Small Businesses

Let’s admit it – Big Data is overhyped. It has been reiterated countless times in scientific and business publications and promises the moon: uncovering hidden patterns of customer behavior, predicting KPIs, helping to plan budgets. However all the steam coming out of the Big Data hype machine seems to be obscuring the truth: big data is useful only if we are able to use it as an aid in everyday business operations.

A company might take on data scientists, invest in enhanced servers, use sophisticated analytics and data mining applications to crunch lots of different types of data, then, send it to an external hi-tech data warehouse, where complex algorithms will process the results and display it in detailed reports. In fact, such scenario is put into practice only in big, well-funded enterprises. For smaller companies it’s too much of an effort and similar results can be achieved using much less complicated procedures.

But the volume of big data for small businesses is only a fracture of what big companies have to deal with. Moreover, the data small business accumulates is usually more structured and have easier to crunch formats. By no means you should avoid analyzing this data as it gives valuable insights and is easier to access than you think. With new business insights you could improve your strategy and capitalize on big data. Here are our tips on how to make it work in practice.

1. Start small

When you perceive your data as a huge pool with new information flowing in every day, this might be intimidating indeed. However, start to view your data not as an overwhelming mass but as a collection of answers to specific questions. Approach it already with a question or a hypothesis in mind and check if the data gathered confirms your assumption. In this case, you will also avoid the hassle that arises when more people look at the same results but each of them interprets them in a different way. This happens when you approach the analysis without a strategy which can cost you a lot of money, time and stress. So first start with a singular question, go through easily available data and if you arrive at a positive answer, you might use it as a first step to more advanced research.

2. Be agile

Contrary to what you may think, it’s the big corporations that are impaired when it comes acting fast. They might be better funded and have more data experts, but even the best IT guys can get tangled in red tape. While a huge company may need five approvals from a CEO, official e-mails and team meetings to get any change through, you can already start leveraging insights from big data in small business. Big data gives insights into real-time data, and when you are able to make changes immediately, right at the point when you see that a certain trend is emerging, then it’s you who have the competitive advantage. You will whisk away the customers without the bigger company even noticing.

3. Involve all your team

In a small company with good internal communication, team work can become a reality rather than a slogan. When all departments of a company, information technology, marketing, sales etc. are working together towards a common goal, they can make data insights meaningful and valuable. As we already mentioned earlier, it is important to create a dashboard culture in your company and make sure your team members let themselves be guided by data in their everyday decisions. The reason why implementing big data for small businesses can be so useful is that it increases the team morale and involvement levels. Employees are given the opportunity to better understand the customer, forecast market trends and monitor their own performance. This in turn encourages them to make fast and confident decisions and benefits the company as a whole.

4. Use smart data sources and tools

Now let’s get down to the nitty-gritty of big data analytics. The most important takeaway for you here is that you don’t need programming, SQL, Hadoop etc. skills to break up your big data into insights. Start with easily available resources you can find online. For useful information about demographics, profession, interests of your customers, you can obviously go to Facebook Insights and Google Analytics. Moreover, you can find online state and regional databases or files that can increase your knowledge of your customers’ lifestyles. For example, in Massachusetts it could be The Pioneer Valley Regional Data Portal (PVRDP) which consolidates regional economic, planning and workforce data through a publicly accessible portal specifically designed to support economic development in the region. You can look for more free online sources about a chosen population or demographics in the region that interests you.

Then, the same applies as for our third tip on getting started with small BI, earlier in this article. Once you have all this data in your databases, you will need a business intelligence software that will allow you to sit back and watch as the data is being crunched for you and business insights emerge. How to choose the right tool out of many available online? First, check if the tool is easy to deploy and you can start using it within minutes. That’s another advantage your small business has over big companies – you can install and start using business analytics tool immediately, with no need to wait months as the software and hardware is installed throughout the organization and employees undergo trainings to be able to use it. Most online tools that analyze big data for small businesses follow a self-service model – all members of your team will be able to perform analyses on their own, with no need for the IT department to get involved and for you to pay extra money for trainings.

Data analysis tools will usually allow you to perform cross-database analysis, and juxtapose data in different formats. Depending on how much data you have, you will be able to choose a pricing scheme. You pay for the functionalities and capacity you need today but thanks to the subscription model you can scale up and add more features as the need for analytics increases. This approach is a perfect fit for small business with big growth potential, where it’s critical for the cost and capabilities of software investments to align with the rate of growth and expansion of the operations.

Exclusive Bonus Content: The Rise of Self-Service Analytics Tools
Learn how innovative self-service analytics tools empower technical and non-technical users alike to reveal the insights behind their business data.

Ahead With The Right Analytics For Small Business

It is a no brainer.. you don’t want to miss out on the rise of self-service analytics. Analytics for small businesses fulfills various needs, increases customer knowledge and retention,  strengthen client bonds by anticipating clients’ needs, and enrich service offerings with new knowledge. It also allows you to analyze data online, helps you stay proactive, visualizes your data, increases collaboration, and helps to secure your data. On a more team-related side, small data analytics also increases productivity, maximizes staff resources, simplifies complex data and analyses, gives your employees space for self-improvement and significantly helps startups.

Whether your business is big or small, business intelligence doesn’t have to be overwhelming or difficult. You just need to approach it with the right tools and preparation. Information pours into your company every hour, every day. Don’t just store it, or ignore it – use that data to make better decisions for future growth.

Small data analytics  are providing actionable insight, allowing both sides of the table to support their cases and be more effective. They can also help you save money and help your employees work faster, be more efficient and keep track on their individual performance. Without doubt both big and small data have their specific uses and benefits, but it’s essential to remember that any data analysis starts with small data sets. Companies looking to gather and act on metrics effectively and quickly should utilize all kinds of data available. With the right people to analyze the right data and the right business goals in mind, your company can do wonders with small data analytics.

Put this knowledge into practice and start your 14-day free trial today and enjoy the deep dive in business intelligence for small business!

1 Star2 Stars3 Stars4 Stars5 Stars (61 votes, average: 4.69 out of 5)