Data Powerplay: Maximizing Sports Revenue with Tableau
Much is made of how sports franchises use data to find the right players for their teams. Billy Beane famously utilized ‘Moneyball’ to transform the Oakland Athletics baseball team from also-rans to contenders. The A’s didn’t win the World Series under Beane’s stewardship, but they consistently outperformed their budget. The Moneyball model is now followed by a huge array of sports teams across various sports. The use of data in this manner is so famous now that virtually every fan is aware of it. This is NOT the case concerning the use of data to generate revenue. Yet it makes complete sense. Franchises need a significant degree of revenue to complete at a high level. A growing number of sports organizations are using Tableau to streamline operations, engage fans, and generate revenue. In this piece, we look into the use of Tableau for this purpose. This includes a case study into how the Texas Rangers baseball team has utilized the data visualization software. Table of Contents How Professional Sports Franchises Make Money Case Study – The Texas Rangers Here’s How Sports Teams Can Use Tableau to Drive Sales Conclusion How Professional Sports Franchises Make Money The National Football League is by far the most successful sports league in American history. Today, it is a trade association comprised of 32 members. These franchises are individually owned, barring the Green Bay Packers, who remain a publicly owned, non-profit corporation. The NFL’s private status makes it challenging to calculate its actual earnings. However, best estimates (from Bloomberg) suggest it earned $15 billion in 2018. This is an increase on its apparent $13.3 billion revenue in 2016. The NFL’s business model divides revenue streams into ‘National’ and ‘Local’ revenue. In 2018, the NFL earned $8.1 billion in national revenue. Therefore, each franchise received $255 million in national revenue from the league. Local revenue, on the other hand, differs according to each team. The Green Bay Packers, for example, earned $196 million in this manner. It equated to 43% of its overall earnings for the year. Now, consider the fact that Green Bay had an operating income of just $38.5 million. This is because the organization spent $420 million on stadium upkeep, wages, marketing, and team and administrative costs. In contrast, the Dallas Cowboys, the richest team in the NFL, had an operating income of $365 million! Here are the different revenue-generating vehicles for NFL teams: TV Deals: These comprise around half of a team’s income. Merchandising & Licensing: This makes up approximately 10% of a team’s income. Ticket Sales & Concessions: Accounts for perhaps 7% of revenue. Corporate Sponsors: Varies according to the team. Gambling: In May 2018, the Supreme Court ruled that individual states can decide whether to allow sports betting. The NFL will surely jump on gambling as a form of revenue. For teams looking to squeeze out every last dollar, using Tableau to help with merchandising, ticket sales, marketing, and concessions, makes sense. The Texas Rangers are a prime example of how to do it right. Case Study – The Texas Rangers in Major League Baseball Arlington is the home of the Texas Rangers’ Globe Life Park. It is among the world’s largest baseball stadiums with a capacity of 49,115. Making sure the place is full for every home game is a challenge unique to Major League Baseball (MLB). In the NFL, there are just eight home games in a regular season. The NBA has 41 regular-season home games, but stadium capacity is usually in the 20,000-25,000 range. The Rangers have to try and sell out 81 home games a season! The franchise began using Tableau to track real-time ticket purchases. It also uses the software to track sales or merchandise and food & beverages. The Rangers have seen a steady decline in attendance since a peak season total of 3.46 million in 2012 as you will see in this table: Four Ways the Texas Rangers Used Tableau to Boost Sales & Revenue Real-Time Ticket Sales Data: The Rangers’ staff used Tableau to bring several data sources together into a single view. The front-office team created a dedicated ‘Analytics Task Force.’ The team ensured that employees in different departments were able to access data and share dashboards. Ticket Specials: The Texas Rangers launched a special four days before a Father’s Day game and could track the real-time performance. The franchise also used Tableau to discover that approximately half of the individual ticket sales occur in the 10 days before the game, including on the day of the event. Staffing: The staff of the Rangers used Tableau to understand how rain delays affected sales. The team discovered that there wasn’t a single ticket sale for 15 minutes after rain delayed a game. As a result, the Rangers decided to shut down three-quarters of its box-office windows. Promotions: The team believed that the highest sales for ‘bobblehead’ nights occurred on Friday, Saturday, or Sunday. They were shocked to learn that Tuesday was the best seller! The Rangers added an extra bobblehead night on a Tuesday night game at the end of a month. The result was an increase in ticket sales. Here’s How Sports Teams Can Use Tableau to Drive Sales The efforts of the Texas Rangers is just one example of how sports franchises use Tableau. Here is a simple overview of what they can use Tableau to do. Visualization of Ticket Sale Trends: With Tableau, it is possible to visualize the data and quickly see relevant trends. Through this process, you can make rapid changes and increase revenue. Without access to this real-time data, you’ll have to wait until the end of the season and lose precious income. Understand What Your Fans Want: Yes, they want their team to win, but they also want to have an enjoyable experience. With Tableau, you can easily analyze data such as finding out how many people leave before the end or the promotions that work best. Increase Concessions Stand Revenue: Part of
5 Best Online Courses for Learning Tableau
We offer a wide range of services to help you get the most out of Tableau. However, at Thinklytics, we also believe in educating potential clients. For us, there is no better business intelligence tool on the market than Tableau. The following corporations use it: Amazon Deloitte LinkedIn Walmart Tableau is especially heralded in the following industries: Healthcare Management consulting IT Financial services However, even though it is marketed as easy to use, there is still a learning curve. If you are an experienced data analyst, you will have little difficulty using Tableau and figure out how to get the best out of the remarkable data visualization tool. However, inexperienced users could find it overwhelming, primarily due to its enormous range of features. As such, it makes sense to find an online course that can help you make sense of Tableau. Fortunately, there are a huge array of options. Unfortunately, not all of them are created equal. Some are extremely expensive and don’t offer value for money, while others are a rip-off. This is why we have created a list of five excellent online courses for Tableau. Tableau: Tableau Training Who else is better than the creators of the platform? The official Tableau website has a remarkable level of information and is laden with tricks, tips, and resources. No matter what the problem is, you will ultimately find the solution if you look hard enough. There are endless live training options where you can choose a topic for a one-hour webinar. Audience participation is welcomed with a Q&A session at every training session. There are also virtual training courses and eLearning options where you can explore Tableau at your own pace. There are also hundreds of videos with information ranging from showing you the basics to dashboards and analytics. While a lot of the knowledge is free to use, the eLearning courses charge a fee. Data Visualization with Tableau Specialization: Coursera This is one of the highest-rated Tableau training courses you’ll find. Over 61,000 people have enrolled at the time of writing, and it is free to use. The course offered by UC Davis has a rating of 4.6 stars from over 8,600 reviews. It promises to help you: Discover and learn the different Tableau features available. Analyze the quality of the data you find, and engage in an exploratory analysis. Design visualizations and dashboards for your target audience. Combine the data you use to present the story you want to tell. Overall, there are five course options: Data Visualization with Tableau Project Creating Dashboards and Storytelling with Tableau Visual Analytics with Tableau Essential Design Principles for Tableau Fundamentals of Visualization with Tableau When you complete a course, you receive a certification you can share with prospective employers. Although you can view the information for free, you need to join a membership program to earn the certification. The membership costs around $600 per annum. It is an official program and involves Tableau as an industry partner. The instructors are UC Davis faculty staff, and the institution recommends dedicating three hours a week. If you do that, you should finish the course in around six months. Tableau 2020 A-Z: Hands-On Tableau Training for Data Science: Udemy Kiril Eremenko created this tutorial, and he is known as an experienced instructor, having taught over half a million students online to date. Presumably, the course’s name will change to Tableau 2021 soon! At present, it has a rating of 4.6 from over 58,000 reviews! In general, Udemy courses have a reputation for being extremely expensive, but well worth the price. Initially, this course cost $199.99, but Udemy reduced it to $149.99. The brand often has flash sales where they knock 90% off the price for a short period. This course specializes in Tableau Desktop and is designed for complete beginners. It will help you: Create bar charts, pie charts, maps, and area charts. Work with parameters. Export results from Tableau into different software like PowerPoint. Add actions to dashboards. Create calculated fields in a blend. All you need to do is install Tableau Desktop and enroll in this course. The instructor will show you everything else. It is only 7.5 hours long, so make sure you pay attention! Data Visualization and Communication with Tableau: Coursera This particular course comes from Duke University. It has a 4.7-star rating from almost 2,800 reviews. Once again, you will need to pay for the membership with Coursera if you want to earn the qualification. However, you have the option to enroll for free and read the content. It is course #3 in the 5-part Excel to MySQL: Analytic Techniques for Business Specialization series. It is a four-week program that teaches you the following: Asking the right questions to succeed in data analysis projects. Visualizing data with Tableau. Dynamic data manipulation and presentation with Tableau. Getting the most out of your communication toolbox. You can change deadlines according to your schedule, and the entire course should take around 25 hours to finish. Tableau Essential Training: Lynda If you are a complete novice and have no idea where to begin with Tableau, this basic training course is ideal. It is designed for beginners and is a gentle introduction to the use of the business intelligence tool. The entire course is 4.5 hours long and includes the following topics: Using groups and sets in Tableau to combine data. Using various chart types to create basic visualizations. Explaining the platform’s data source configuration and management. Providing examples of data analysis in Tableau. Applying mapping techniques. At the end of this course, you will have a reasonable grasp of how to use Tableau. You can then proceed with a more advanced course. Final Thoughts on the Best Online Courses for Tableau These days, having a high level of Tableau knowledge can lead to a lucrative career. For example, a qualified Tableau developer can command a salary of over $100,000 per annum. If you run a business, Tableau can help you make sense
Tableau Prep Builder – How Can It Help Your Business?
According to the Pareto Principle, approximately 80% of the consequences come from around 20% of the causes. In the modern era, we call it the 80/20 rule. It essentially says that we should find a way to become more efficient. The 80/20 rule isn’t some trite click-bait statement either. We can see it in various facets of business: 20% of a business’ customers account for up to 80% of the total profit. 20% of sales representatives generate around 80% of sales. 20% of patients account for 80% of healthcare spending. Why is it then, that data analysts do things the other way around? A 2017 Harvard Business Review found that analysts spend up to 80% of their time preparing data, and only 20% on actually analyzing it! Imagine if there was a tool capable of helping you build your flow and speed up the analysis part of the job. Guess what? There is, and it is called Tableau Prep Builder. Here’s What Tableau Prep Builder Can Do for You If you’re stuck for time and can’t read the whole article right now, here’s a quick overview of what Tableau Prep Builder can do. We also outline the pros and cons. You can always come back later. Quickly and easily transform and shape your data for analysis. See all your data at a glance thanks to Prep Builder’s clean interface, which is highly visual and easy to understand. Easily connect to whatever data matters most to you, whether on-premises databases, in the cloud, or on a spreadsheet. Visually combine and rapidly reshape & clean your data from various sources. Provides drag and drop functionality that instantly joins data together. See the outcome of data joins and spot exclusions. Express data in different ways through the use of calculations. Locate inconsistencies and outliers in your data, fix them in moments. Tableau Prep Builder Pros Enables users to find and fix problems in data without having to write code. Integrated with Tableau, so subscribers can put their data to use as soon as they wish. Allows users to share data with the relevant parties securely. Data flow scheduling. Extremely easy to use, especially for those with Tableau Desktop experience. Excellent level of support from the Tableau team. Free trial. Tableau Prep Builder Cons Some users suggest it is sluggish when making a substantial number of changes. Not the best option if you need to query your database for a data set for review and prepare for analysis. What is Tableau Prep Builder? It is a fantastic tool to help you clean and organize your data. The purpose of Tableau Prep Builder is to make it easier to tidy up the information you bring in from different sources. Its visual interface offers a detailed look at your data, and its list of excellent features ensure that users find the data preparation process easier than ever. It is an ETL tool, which is similar to the likes of KNIME or EasyMorph, but more advanced. Once you perform the cleaning up process, you use Tableau Prep Builder output as the Desktop data source for analysis. Like Desktop, Prep Builder is pretty easy to learn with Tableau’s superb drag-and-drop interfaces making things simple, even for novices. It is comprised of two products: Prep Builder: This lets you combine and clean the data for analysis. Prep Conductor: This allows you to share data flows and manage them at scale. It is in the Tableau Data Management Add-On. Let’s dig a little deeper and see what Tableau Prep Builder is like to use. User Interface If you are a Tableau Desktop user, you will love Prep Builder’s UI. It resembles Desktop with a clean and clear interface that is extremely easy to use. From an Official Tableau Video When you click on any element, you receive another set of profile panes with further tailored data. These secondary windows are crisp and clear, with an array of fields and sample values. The mini bar charts and data review elements in the profile pane are among the best features offered by Tableau Prep Builder. Rather than trying to decipher information amongst a list of confusing data, you can see crucial values and spot-check your data rapidly. Data Connection Imagine a situation where you have to analyze sales and profit figures for the last few years. After the laborious task of data gathering, you notice, to your horror, that the data was collected and tracked differently for various regions. Further checks reveal incorrect data entry, and the entire thing looks like a mess that will take hours to clean. With Tableau Prep Builder, the above scenario no longer means hours slumped at a desk. Click on the ‘Connections’ tab, which you can see on the top-left of the image above. You can start building a flow and have several options to connect to data. The official Tableau website has the above scenario on one of its ‘Help’ pages. It outlines how you can do the following with data: Connect Explore Clean Combine Run your flow and generate output It looks long and complicated when written out, but once you get used to Tableau Prep Builder, you’ll go through the process in a fraction of the time you think. Data Extraction Made Simple Once you are satisfied with your data and flow, creating an extract from the newly cleaned and organized data is simple. Again, check out the clean interface. Interworks.com Tableau Prep Builder is busily trying to match what’s available on Desktop as far as connectors go. There is no question that Tableau will continue to upgrade as the brand always does. On that note, let’s see the latest updates of Tableau Prep Builder. Tableau Prep Builder – What’s New? Since the 2019.1.2 version, Tableau Prep became Tableau Prep Builder. The latest version is 2020.3.3. Here is a quick overview of what’s been added. Recovered Flows: As is the case with Desktop, Prep Builder saves your flow if there is a crash.
What Are the Pros & Cons of Tableau?
One could argue that the process of data visualization has only gained the attention of most companies in recent times. Indeed, we only formed Thinklytics in 2018 after seeing the rising tide of Business Intelligence tools. We decided to focus on the platform Tableau because we genuinely feel it is the #1 data visualization tool. What a lot of people don’t realize is that Tableau was founded in 2003. Its primary aim was to turn data analysis into a comprehensive and interactive process. Suffice to say; the brand has succeeded spectacularly. It is ideal for non-technical users and enables them to transform huge data sets into gorgeous and easy-to-understand graphics. Users with technical ability, such as the team at Thinklytics, can manipulate the graphics even further. As a result, we can use Tableau to create a tailor-made strategy and bring it to life. The result is greater insight into your company’s data, which you can use to innovate and expand. Indeed, Thinklytics is firmly in the pro-Tableau camp. However, we also recognize that it isn’t necessarily for everyone. While it is a brilliant BI tool, it isn’t perfect. Therefore, in this article, we outline Tableau’s downsides while also analyzing its many strengths. What Are the Downsides of Tableau? Although it has a huge array of remarkable features, Tableau has a few things it could improve. Let’s take a look. It is Too Expensive for Some Users Although Tableau isn’t at the very top-end of BI tools pricewise, it is more expensive than well-known rivals like Power BI. Individual users could pay in the range of $2,000 per annum (worst-case scenario) for Tableau Desktop. Larger organizations can invest in a server that supports up to 1,000 people. The downside? You’re likely paying six figures for the privilege. If budget is an issue, you can try Tableau Online and Tableau Public. However, neither offers near the level of features as Tableau Desktop. There is also a hefty maintenance fee to consider. Yet, for companies looking to make it to the top of their industry, Tableau’s cost is value for money. IT Knowledge Still Required While you can get a lot out of data from a CSV file or Excel, you still need someone with SQL skills to create the SQL query needed to connect to a database. This process gives you the full range of Tableau’s functions. Fortunately for your business, the Thinklytics team has the knowledge needed to get the best out of the platform! Sales Team Although Tableau is working hard to fix this issue, its sales team is still behind its rivals. Some users suggest that the Tableau sales team is aggressive. As it is a publicly-traded company, it answers to its shareholders. As a result, the company still needs to make as much profit as possible. This could explain why the sales team remains relatively inflexible. Lack of Functionality for Scheduling or Notification of Reports Tableau doesn’t offer automatic refreshing of reports to help companies with scheduling. Users are unable to create static layouts or data tables. On the plus side, it does provide users with the opportunity to leverage exceptional data visualization. Uploading the data in the back-end requires some effort, but the result is worth it. Too Many Features This is a strange thing to include in a list of Tableau cons! However, the remarkable number of features is potentially overwhelming for new users. The company could help by improving the level of hands-on training it offers. At least you can get in touch with the Thinklytics team. We will help you gain mastery of Tableau. What Are the Upsides of Tableau? Realistically, we could write a book on this subject! However, we’ll keep it down to five (for now). Next-Level Data Visualization Simply put, there is no BI vendor on the market that comes close to matching Tableau for data visualization. It was one of the industry’s first companies to offer users the chance to drag and drop complex data to create outstanding visualization. Newbies can perform a deep dive on charts or highlight sections without IT expertise. Tableau allows you to connect any number of data sources, which it converts into easy-to-read charts and graphs. The Tableau Community While the sales team comes off as aggressive, Tableau does provide a high level of customer support. There is also an active online community with forums that can quickly and easily answer many of your queries. You also have the option of submitting a request for technical support from Tableau’s expert team. Relative Ease of Use While getting the most out of Tableau requires expertise beyond many users, its drag-and-drop interface is extremely useful for novices. You can quickly build basic data visualizations and generate important insights. There is a learning curve if you want to become a Tableau expert. However, you get plenty from it without ever needing to reach that level. It Can Handle an Incredible Amount of Data While rivals such as Power BI have low limits on the data they can handle, Tableau stands alone. It is capable of dealing with millions of data rows with consummate ease. You can create various visualization types with enormous swathes of data without impacting dashboard performance. Outstanding Integration Tableau integrates with far more data types than most of its competitors. This increases the limit on how deep you can dive in the search for advanced data analysis. A prime example of its excellent integration is the fact it offers native support for Google BigQuery API. This is precisely what companies in need of detailed analytics need. Here is a quick overview of the Pros and Cons of Tableau: Final Thoughts on the Pros & Cons of Tableau At Thinklytics, we understand that Tableau is not for everyone. There are a few downsides that may drive companies to a different BI tool. However, in our opinion, Tableau remains the best Business Intelligence tool for organizations that want to
Tableau Versus Power BI
Data visualization and analytics is huge business these days. Brands now fully understand the importance of gathering and analyzing data. The information gleaned from this process can cut costs, boost customer engagement, and increase profits. There are dozens of business intelligence tools, but consumers want a combination of ease of use, price, power, and brand recognition. There are few offerings on the market that provide all of the above better than Tableau and Microsoft Power BI. They are considered two of the best options on the market and are often the subject of comparison. This is precisely what we intend to do today. We compare three key areas to see which option comes out on top: Features Ease of Use Value to a Business Features Tableau You have the option of taking a 14-day trial where you gain full access immediately. It is possible to begin connecting your data sources as soon as the trial begins. Those who build visualizations in Tableau Desktop can share them with their team via Tableau Online or Tableau Server. Tableau has access to a vast array of database sources and servers. Other features include: Importing data of all ranges and sizes. Sharing and embedding dashboards. DAX analysis function. Data blending. Data collaboration & data notifications. The ability to create “no-code” data queries. A vast product range, including Desktop, Desktop Personal, Desktop Professional, Public, Server, Online, and Reader. Power BI There is desktop, mobile, and service options. You may need all of these services to publish your visualizations. The Azure tenant setting is the most basic and involves connection via an Office365 Admin interface. Users can connect spreadsheets, data sources, and apps through built-in connections and APIs. Other relevant Power BI features include: Datasets Reports Q&A question box Trend indicators Real-time dashboards Winner – Tableau Tableau offers significantly more features than Power BI. It utilizes far more data sources with a vastly superior data capacity. On Power BI, each workspace/group can only handle 10GB of data. You need the data to be in the cloud via Azure to handle more. In contrast, Tableau uses a columnar based structure. It stores only unique values for every column. As a consequence, it can fetch billions of rows. Ease of Use Tableau There is something of a learning curve involved in the use of Tableau. One plus is that you don’t need to use any coding language to create charts and scatter plots. Also, Tableau doesn’t restrict the number of data points you can use. When dealing with large datasets, the system could potentially slow down. It could take some time to get a handle on using Tableau. It requires the user to understand the data they want to look at and why before beginning. This is necessary to get the most from Tableau’s integrations and connections. Users must identify the data to pull into the tool before making the connection. Some of the features are hidden behind menus, so it may take time to find the relevant ones. However, even though some users say Tableau has a cluttered appearance, it becomes easy to use once you have enough practice. The ability to drag and drop is also extremely useful. Power BI The Power BI interface is easy to use and emerged as an add-on to Microsoft Excel. It offers API access and pre-built dashboards. Power BI also has a drag and drop feature, which even novice users find simple to handle. With native apps, it is possible to gather data from anywhere. The natural language query tool is a nice addition. Winner – Power BI Overall, Power BI has the edge in user experience, at least in the early stages. It takes longer to get to grips with Tableau. However, this is down to the extra features and functions. There are no datapoint limits with Tableau. In Contrast, Power BI allows a maximum of 3,500. Users must decide if they want to sacrifice greater functionality and more features for simplicity of use. Value Tableau With no limits on data points, Tableau enables users to undergo as sophisticated analysis as they can understand. It recently made changes to its pricing model. Now, it uses a tiered system that looks at connections to files versus third-party apps. You will save money if you have plenty of data on spreadsheets. This is because you can export it from third party tools before uploading to Tableau. Even the lowest cost Tableau option costs more than Power BI, but its advocates say the extra features make it value. With the ability to use 24 different types of data visualization and outstanding customer support, Tableau can justify its extra pricing. It also offers extensive support tools to help you understand how to use the software. It handles a huge amount of data with better performance than Power BI. According to the Tableau website, customers experienced an ROI increase of almost 600% after using Tableau. It is designed for experienced analysts and large businesses. Power BI This product comes at a lower price point, though scaled features and extra users cost more. Companies already invested in Microsoft Software will also benefit from a lower overall price. Power BI doesn’t offer the same depth of data analysis as Tableau and is better suited to SMEs looking to analyze a moderate amount of data. Power BI’s level of customer support doesn’t match up with Tableau. It stores relatively little data outside of the cloud and has limited access to other servers and databases. Also, Power BI’s performance is inferior to its rival when faced with a huge amount of data. Winner – Tableau Ultimately, you get what you pay for with Tableau. It costs more, but you receive far more features, better support, and the ability to analyze more data. What Are the Pros & Cons of Tableau and Power BI? Tableau Power BI Tableau is Better Than Power BI At: Handling large volumes
5 Essential SME Tools to Boost Productivity & Efficiency
Great article on tools available for small biz from Inside Small Business AUGUST 11, 2017 Technological innovation has rapidly changed the nature of work and the ways in which teams collaborate. SMEs, in particular, now have to balance day-to-day operations with the continuous task of identifying growth opportunities and threats in a marketplace that is more volatile than ever before. Minimising lengthy processes and procedures is the key to bring SME agility, alongside being flexible with both your approach to how you work and the products and services that you provide. The ability to be agile can be the difference between success and failure for SMEs, and technology is the key to unlocking this. It is no surprise that recent research* by Commonwealth Bank reveals that small businesses adopting new technology are more likely to expect revenue growth. Adaptive planning and growth strategies take time to collate, time that many small businesses may feel they don’t have as they are more concerned with daily tasks. Eliminating inefficient processes and procedures will provide more time for looking ahead rather than at what’s right in front of you. Square Agility and mobility come hand in hand and platforms like Square have enabled even the smallest of businesses to grow and prosper on the move. The ability to accept payments anywhere in Australia has opened up new revenue streams for small businesses fueling growth. As well as its card reader, Square boasts in-built reporting functionalities, such as sales figures, customer information and inventory lists. This means that business owners with little background in these areas can make educated decisions quickly and affordably without the need to outsource. The simplicity of this system, and a vast array of supported partners means that often outsourced tasks such as bookkeeping and administration can now be done internally. Tableau In years gone by, companies would have to wait to get information that they needed in real time: whether this was marketing metrics, such as customer engagement, or financial information like sales forecasts. Now, through data visualisation platforms such as Tableau critical information that was once retrospective can now be gathered, interpreted, and acted upon in a matter of minutes. Tableau has recently added a feature that uses machine learning to combine data sources to provide real-time reporting alerts that get sent immediately to the user, allowing decisions to be being made faster than ever before. Dropbox Business As workforces becoming increasingly mobile, you need technology to keep up with your colleagues. Whether this is through file sharing or real-time content collaboration, services such as Dropbox Business are excellent ways to work together with others to execute tasks quickly and efficiently. It’s newest feature, Dropbox Paper, enables you to collaborate on documents in real-time and create visually appealing work remotely. Slack A recent study** of 4000 Australian professionals into workplace productivity found that they’re spending more time in meetings than ever and 66 per cent of those meetings are of no value. Time wasted is a killer for small businesses. The instant messaging service, Slack, brings all your communication together in one place, providing real-time messaging, archiving and a search function. The ability to separate conversations in channels means that only relevant personnel will be notified on specific tasks. Trello Project management is something that is paramount to the efficiency of any business, whether that’s a global corporation or a small business of ten people. Trello’s boards, lists, and cards enable you to organise and prioritise your projects in a fun, flexible and rewarding way. Like all these services, Trello has democratised its field giving everyone the opportunity to become an efficient project manager. Curious to know more? Schedule a consultation with Thinklytics to know more about how data analytics can make your life easier and make you a hero at work.
