Carrollton Dermatology Associates
Dr. Thomas H. Lamb, MD.
Brighter Image, Inc.
RA-Lin and Associates
North Georgia Turf, Inc.
Regardless of the size of your company, chances are you’ve heard of data warehouses, but perhaps are unsure exactly what they are and how your organization can benefit from them. Successful companies all have one thing in common - they make the best decisions based on the data at hand, which usually lead to good business results. A data warehouse is a business intelligence tool designed to manage huge volumes of data from multiple sources. Here’s what you need to know about data warehouses and the advantages they offer for your business.
Business intelligence is all about taking valuable raw data from your company’s operations and turning it into useful, understandable insights that help you understand what you are doing well, what you need to improve on and where your company is headed. Insights gleaned from business intelligence can also help you to identify new opportunities for further growth. But if you’re just getting started, understanding business intelligence can be a headache in itself. Here are three terms to get under your belt as you make your debut.
That’s where visualization comes in. Just what it sounds like, visualization is about taking your raw data and presenting it in a way that’s instantly understandable and meaningful to its audience - whether that’s you as business owner, your boss or your company’s investors. Visualization can help you to convey a high-level overview of business performance, before you drill down to consider more specific areas of your products and services. Some business intelligence tools also offer interactivity to allow you to get exactly what you need from complex data.
A better solution is a business intelligence application that allows you to import data from various locations, and adjust your reporting output according to variables in the numerous factors you are forecasting. With speed that those clumsy spreadsheets just couldn’t replicate if they tried, you’ll have at your fingertips a set of responsive, adaptable reports that enable you and your team to spend more time on analysis and making plans for the future.
Want to learn more about using business intelligence to propel your company to greater heights? Get in touch with us today.
In today’s fast-paced business environment, companies need to adapt to stay in the game. Interpreting and utilizing data has become more important than ever, and small business owners are turning to business intelligence (BI) to gain an edge over their competitors. BI systems were once very expensive. Nowadays however, advancements in technology have pushed prices down, and small businesses are taking advantage of BI’s many benefits.
BI is a set of tools and techniques that transform raw data into information that companies can actually use for business purposes. You can use BI tools to collect data from internal systems and external sources. That data can then be analyzed and compiled into text or visual reports for corporate leaders, assisting them in making important business decisions.
There are lots of BI options to choose from, and you should pick the one that best suits your needs. Want to know how to adapt business intelligence to your company? Give us a call and see how we can help.
Business and technology are increasingly intertwined in today's fast-paced world. What's more, they offer a winning combination to propel your company or organization forward at an incredible pace. That’s why many businesses are now looking into innovations to take their productivity and competitiveness to higher levels. As a business owner, you have to prepare your business to embrace change and adapt accordingly. Here are three modern business intelligence tools that will help your company stay ahead of the game.
The main benefits of 3D printing for businesses are increased productivity and creative, customizable new designs. Product designers can use 3D software to speed up the creation of product prototypes. It also allows for remote cooperation between colleagues, which increases the ability to brainstorm ideas for faster product-development cycles. 3D printing processes are also highly customizable to suit the needs of clients.
Nowadays, businesses require faster innovation, remote access, and better cross-product integration. This is where the enterprise cloud comes in; to deliver cost savings and provide better security to accommodate business growth. You’ll want to adopt the enterprise cloud to gain advantage over your competitors.
If you’re interested in boosting your business performance with BI tools, contact us today and see how we can help.
The business intelligence market is changing. While most of you are probably familiar with business intelligence software such as Excel, the new wave of BI products is making it easier for you to track down data and organize it into easily viewable graphs and reports. So if you’re looking for data on how well a new product sold this past year, you can save time by not having to gather that information and organize it yourself. Now Microsoft is joining the scene and trying to make noise with its free Power BI product offer.
Another distinct characteristic of Power BI is its ability to collect and analyze data from various applications and services. These include Salesforce.com, Marketo, Excel, Zendesk and more.
And lastly, being a Cloud based service, the data is easily shareable, and employees can access it whether they’re in the office or on another continent.
For some, Excel may give you the ability to track all the Business Intelligence you desire - if the data you need is relatively simple and is kept all in one place. But if you have large amounts of data over various applications, then a product like Power BI can be a huge time saver since you won’t have to waste hours finding and organizing it.
Likely the real reason for the free version of Power BI is to capture market share from Tableau software, which currently dominates the self-service analytics market. Microsoft appears to be trying to create a simpler data analytic system that will be less complex than Tableau and more appealing to non-tech users.
And once they get sign-ups, Microsoft can then use this as a gateway to sell other Microsoft business products.
Want to discover how Microsoft’s Power BI or other Business Intelligence products can give your business an edge? Contact us today to see how we can help.
With the steady increase in the adoption of business intelligence suites and solutions by small to medium businesses, managers and owners have been able to take advantage of better data. One business function that has really benefited is sales. There are so many sales-related metrics to employ, it can be tough to actually pick the ones that work for your business. To help, here are five of the most common and most useful sales metrics.
When companies set up their sales pipeline metrics they often set out to measure:
Beyond giving a useful whole-business overview, this metric can also uncover exactly how much each sale influences or contributes to the bottom line. This can be calculated by using the standard profit-ratio equation - net income over sales revenue.
From here, you can track improvements and tweak forecasts to ensure that they become as accurate as possible. After all, if you can show that you are meeting your goals, or are close to meeting them, you can make more reliable decisions and be assured that your company is doing as well as it appears to be.
While a high rate is preferable, low win rates are also useful largely because they can highlight areas where improvement is needed. For example, if your team has constantly low win rates across the board, then it could signify that there is a need for more training on closing sales, or that sales staff may not be knowledgeable enough about the products or services being offered. A fluctuating rate could show increased industry competitiveness and highlight when a sales push could be beneficial.
Essentially, when measured correctly, you can use loss rate to improve the overall sales process and hopefully bump up your overall win rate. You can also compare the two rates to really see how big of a gap there is and give your team a solid goal to try and find ways to reduce this gap.
If you are looking for solutions that allow you to track and measure your sales and any other data you generate, contact us today to learn how we can help turn your data into valuable, viable business information to lead your company to better success.
When it comes to running a business, you likely thrive on customer and employee interaction. If your customers aren't active, or employees are struggling to interact with each other and customers, you could be facing a downward spiral. One way companies try and reverse this stagnation, while simultaneously gaining important and useful data, is through gamification.
By implementing game elements into areas like marketing or training, you can drive engagement, while also collecting better data, primarily because most people will be more willing to provide relevant information when they are invested in a game.
When it comes to implementing these elements into business processes, many companies tend to focus on either customer gamification or employee gamification.
Many businesses have been successful in implementing this game characteristic into social media, where people who interact gain levels and therefore access to such benefits as discounts. Businesses implementing customer-oriented gamification often see both increased engagement and better data flowing into the organization. In fact, many businesses have found that the data implemented through these elements has been useful in decision-making and overall business intelligence efforts.
As with customer gamification, employee gamification can be a great source of data. For example, by tracking where employees are, and their results, you can quickly see weak spots or places where help may be needed. Essentially, more data means the ability to make better decisions.
If you find that gamification, or elements of it, won't benefit your business program, then it's best not to implement it for the sake of it.
In business, as in life, we constantly try to make predictions about the future. How will sales be next year if we implement a new procedure? What will the weather be like for the annual staff event next week? It's no surprise then that businesses of all sizes have started to embrace the idea of predictive analytics. However, many business managers are unsure as to exactly how to work with this form of analytics effectively. To help, here is an overview of the three main components of predictive analysis all business owners and managers should be aware of.
Together, these three elements of predictive analytics enables data scientists and even managers to conduct and analyze forecasts and predictions.
If you want predictive analytics to be successful, you need not only the right kind of data but information that is useful in helping answer the main question you are trying to predict or forecast. You need to to collect as much relevant data as possible in relation to what you are trying to predict. This means tracking past data, customers, demographics, and more.
Merely tracking data isn't going to guarantee more accurate predictions however. You will also need a way to store and quickly access this data. Most businesses use a data warehouse which allows for easier tracking, combining, and analyzing of data.
As a business manager you likely don't have the time to look after data and implement a full-on warehousing and storage solution. What you will most likely need to do is work with a provider, like us, who can help establish an effective warehouse solution, and an analytics expert who can help ensure that you are tracking the right, and most useful, data.
Using data that has been collected from various customer touch points - say a customer loyalty card, past purchases made by the customer, data found on social media, and visits to a website - you can run a regression analysis to see if there is in fact a correlation between independent and dependent variables, and just how related individual independent variables are.
From here, usually after some trial and error, you hopefully can come up with a regression equation and assign what's called regression coefficients - how much each variable affects the outcome - to each of the independent variables.
This equation can then be applied to predict outcomes. To carry on the example above, you can figure out exactly how influential each independent variable is to the sale of product X. If you find that income and age of different customers heavily influences sales, you can usually also predict when customers of a certain age and income level will buy (by comparing the analysis with past sales data). From here, you can schedule promotions, stock extra products, or even begin marketing to other non-customers who fall into the same categories.
As a business owner or manager you are going to need to be aware of the assumptions made for each model or question you are trying to predict the answer to. This also means that you will need to be revisiting these on a regular basis to ensure they are still true or valid. If something changes, say buying habits, then the predictions in place will be invalid and potentially useless.
Remember the 2008-09 sub-prime mortgage crisis? Well, one of the main reasons this was so huge was because brokers and analysts assumed that people would always be able to pay their mortgages, and built their prediction models off of this assumption. We all know what happened there. While this is a large scale example, it is a powerful lesson to learn: Not checking that the assumptions you have based your predictions on could lead to massive trouble for your company.
By understanding the basic ideas behind these three components, you will be better able to communicate and leverage the results provided by this form of analytics.
If you are looking to implement a solution that can support your analytics, or to learn more about predictive analytics, contact us today to see how we can help.
The amount of data both available to, and generated by, a company is increasing exponentially. While some smaller to medium businesses are coping fine with the growth, many are struggling with managing their data, let alone leveraging it to help make better decisions. If you find that your business isn't coping with data, one solution may be to implement a data warehouse.
Possibly the biggest benefit of a data warehouse is that it can pull data from different sources e.g., marketing, sales, finance, etc. and use this different data to formulate detailed reports on demand. Essentially, a data warehouse cuts down the time required to find and analyze important data.
While not every business will need one right this minute, a solid data warehouse could help make operations easier and more efficient, especially when compared with other data storage solutions. That being said, it can be tough to figure out if you actually need one. In order to help, we have come up with five signs that show your business is ready to implement a data warehouse.
Combine this with the fact that each department has spreadsheets that you will likely need to pull data from in order to generate a report. If this is the case, you are creating manual reports, which can take a lot of your time.
If you are struggling to find the data you need because it is spread out across different sheets, in different departments, then it may be time to implement a data warehouse.
While it can take a while to get to this point, companies will reach it if they keep adding to their data. At this point you will see a drop in productivity and overall effectiveness in how you use your data. Therefore, a data warehouse that can combine data from different sheets may be a great solution.
This makes you highly ineffective and can be downright frustrating, especially if employees are too busy or just can't provide the information needed. Implementing a data warehouse can help centralize data and make it available to all team members more effectively. This cuts down the time spent actually having to track it down and communicating with colleagues.
This can be amplified if some departments have data sources that they don't share with other teams, as this can throw doubt into the solidity of your data and other reports. If you have reached this point, and realize that there are discrepancies in your data, it may be time to look into a data warehouse which can help sort out problems while ensuring mistakes like duplicate data are eliminated.
Because data warehouses consolidate data, you only have to turn to one source for data. Combine with the fact that many data warehouses can be set up to automatically update if source data is updated or changed, and you can guarantee that the data you are using is always correct.
Looking to learn more about data warehouses, or about the different data solutions we offer? Contact us today.
As businesses of all sizes continue to integrate more technology, the amount of data available to companies will grow exponentially. However, not all of that available data will be important or even useful. And, as you collect more and more data, it will be harder to process and analyze it without becoming overwhelmed. In order to avoid this, you should ensure you have a well defined data collection system in place.
If you are looking to implement a new data collection system, or improve on how you currently collect it, here are six tips that can help:
By first identifying important interactions to track, you can then look for metrics and data collection methods related to these interactions. This makes it easier for you to track the most important data.
To continue the online store example from above, this information could include how far down the page people scroll, how many pages deep they go when looking at product categories, how long they spend on a site, and where those who don't convert leave from.
Collecting and analyzing data like this can be a great determinant of what is working well and what needs to be improved upon.
Be sure to identify which ones your business currently uses, as these will often point you towards the relevant data you will need to collect.
On the other hand, many businesses use data from multiple systems for one key metric. In order to ensure that you are collecting the right data, you will need to identify these sources and ensure that they are compatible with your data collecting system. If they aren't, you could face potential problems and even make wrong decisions based off of incomplete data, which could cost your business.
This information will be different for each audience, so be sure to identify what data they judge to be important. For optimal results, you should think about who will be reading the data reports and what relevant data needs to be collected in order to generate them.
You should also look at who will be getting the reports and how long different campaigns or business deals will be in place. The frequency will vary for each business, so pick one that works best for your systems and business.
If you are looking to implement a data collection system, contact us today to see how we can help.