Once you have established social media presence for your business brand, you stand a chance to interact with your audience across the globe. When customers interact closely with your brand on social media, you stand a chance to get a data point. When running a business on social media, you need to do social media competitor analysis to evaluate your position in the business.

When doing all this social media assessment, you generate data that you need to be converted into insights that will help you take the next step in business. Many business owners develop a significant amount of data, although they do not understand how the data can be converted into essential insights into the progress of their brands.

Leveraging on the insights you generate from your business operations is not a walk in the park, as many business owners firmly believe. Social media data visualization is a crucial principle in this aspect that can help you generate the insights you deserve. However, many people do not understand the aspect of data visualization in social media resulting in more complexities. Let’s face the reality of things!

The Meaning of Social Media Data Visualization

Data visualization involves the process of analyzing complex sets of data and presenting them in a visual format. When discussing social media data visualization, you refer to the data you collect from your business’s social media activities. This might still sound complex to those who are not yet familiar with the art of using social media in their business operations.

Advantages of Social Media Data Visualization in Decision Making

There are multiple ways you can opt to visualize your social media data. The good thing is that they aid in data-driven decision-making, which is crucial for business success. Let’s shed light on the impact of social media visualization in decision-making!

Effective Data Presentation

Managing different social media accounts requires you to have exceptional data presentation skills that will place you on a better side of the industry. Note that you don’t have the whole day to elaborate more on trends and patterns to your team members. All you need is an effective strategy to help you complete the task without bothering your audience.

After visualizing your social media data, you need to share it with your team members more compellingly. Data presentation becomes more productive if you have an idea that you want to back up with data. If your idea is well-established, you can easily get your point delivered perfectly to your audience.

Analysis has revealed that verbal data presentation can help you persuade approximately half of your target market, while data visualization (line chart, bar chart, box and whisker plot, etc.) can help you convince two-thirds of your market audience. This indicates the clear power of effective data presentation, especially on social media.

Spotting of Trends and Analysis

Social media data plays a critical role in showcasing how two or more entities are related to each other. Obviously, it is complicated to evaluate every aspect independently since the insights collected from every aspect need to impact the decisions made. Apart from giving you the focus you deserve during decision-making, it also affects how you perceive different aspects by lengthening the decision-making process.

Besides, it is crucial to consider various trends within the business industry before making important decisions. Remember that some trends impact some decisions either positively or negatively. Also, multiple decisions need to be made within a specified time frame due to the ongoing trend.

Easy understanding of Data Over Time

Perusing large sets of data presented in the form of spreadsheets is tedious and time-consuming. Besides, many people do not possess the technical skills required to digest and comprehend data displayed in the form of tables and spreadsheets. Using historical data gives you a broader opportunity to understand every bit of the information necessary in the decision-making process.

When planning for serious business events and promotions such as black Friday, using the past data collected from similar events can significantly help you make accurate decisions. The decisions made are then used in social media marketing tips to propel the growth of the business. In addition, it gives you a better chance to analyze your competitors, giving you an insightful context for decision-making.

Once you master the art of data and its impact on your business success, you stand a better chance to elevate your business to the next level. Also, visualization aids in social media analytics, enabling an easy understanding of data in the long run. Besides, the data generated is appealing and engaging, thus making it easy to comprehend and absorb in your business operations.

Enhances Faster Decision Making

The decision-making process tends to take some time before coming up to a conclusion. By picking up the right information and locating the vital trends, decision-making becomes an easy thing that takes the shortest time possible. At this point, you only need to focus on the publishing schedule, the type of content to post, and how you engage with customers.

Data visualization makes these processes easier, allowing you to develop a flexible schedule to elevate your company to the next level. In addition, you can spot trends and patterns that easily impact the decision-making process. When decisions are made faster, the business stands a chance to secure more customers within its target market.

Data visualization aids in tackling trends and patterns, easily identifying the way forward for business success. Also, it becomes easier for the business to withstand the headwinds within the business industry, creating a favorable environment for the company to thrive.

In Conclusion

Approximately 73.33% of social media users are active on Facebook. This means that this platform has significant potential depending on the kind of business you are operating. Making critical decisions on social media platforms gives you a competitive opportunity to skyrocket sales and take your business to the next level.

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How Data Is Disrupting Old Industries and Fueling New Business Models

I recently had the opportunity to talk with Matt Turck, partner at FirstMark Capital and the moderator of this week’s Structure Intelligence conference in San Francisco. Matt wanted to discuss how data is changing our lives and businesses in such a fundamental way.

He asked about my thoughts on big trends we’re seeing in artificial
intelligence (AI), visualization technology, and blockchain, all areas where
I’ve spent a significant amount of time.

AI: The Next Wave of Computing:

As 2017 gets underway, many investors believe AI has arrived as the next wave in computing that will change our lives, just as mobile computing changed our lives when smartphones proliferated over the past decade. To understand this latest wave of computing, I suggest watching Andrew Ng’s video which has been viewed almost 2 million times. MBA students in AI and machine learning. For that reason, we’re seeing a big increase in demand for scientists and engineers who specialize in machine learning and deep learning all areas where GPUs excel due to their throughput advantages. Two universities focusing on AI are Stanford University’s Artificial Intelligence Lab led by Fei-Fei Li, a brilliant scientist whose work encompasses both research and product development-and Carnegie Mellon University (CMU), where my friend Byron from NVIDIA sits on the faculty.

Visual: The Most Important Tool you’re not using today:

We have spent the past 20 years building tools for helping people communicate visually. It has been an incredible journey watching customers use Tableau to help them discover amazing stories in their data, oftentimes with big business impacts from helping doctors discover that a specific drug is generating unexpected side effects, to seeing how different products are selling across different regions, to understanding the market price sensitivity of different geographies. We’ve built a very happy and engaged community of more than 55,000 members on LinkedIn alone. I see this growing larger every year as more people look at their data visualizations day-in and day-out. The New York Times recently featured Tableau in its “Data Is Beautiful” section which shows off some amazing visualizations. Together with Tableau, we’re also seeing increasing demand for the tools that help people create their own stories from workbooks that show how to use different functions in Tableau, to books showing how to visualize data with specific tips and tricks on visualization best practices for Blockchain, all the way to self-service courses where students learn at their own pace by solving real problems in Tableau. Everyone is looking for new ways of getting better at telling stories visually.

Blockchain: Now Going Mainstream:

I started my career working with banks and financial institutions back when I was a doctoral student at CMU. In many ways, it’s been exciting watching blockchain grow from an open-source project into a powerful industry-transforming finance and business tool. Today, any industry in which a trusted intermediary is required for transactions to occur and where parties prefer to keep their transactions private from other participants in the ecosystem can benefit from blockchain technology. The bitcoin blockchain lets people send value to each other without having to trust that third party, while Ethereum lets people run applications without trusting an intermediary. In both cases, the parties participating in a transaction feel more confident due to the visibility and transparency of these blockchains, and because their records cannot be altered once written. I’m excited about how this will lead to new business models and transform nearly every industry over time from finance and healthcare to government services and insurance by removing middlemen from processes that have been built around them for hundreds of years.

The Age of AI is upon Us

AI, machine learning, deep learning, and neural networks-whatever you want to call it is the wave of the future. This technology isn’t science fiction anymore. We are seeing it make an increasing impact on our lives. Right now, this means that companies need people who understand how to build these systems and apply them in useful ways. I think that anyone interested in this field should start building things today if they’re not already doing so. There are countless sources of information available for free online about these topics. If you’re just starting out with programming or data visualization, there’s no better time than now to learn!

Conclusion:

In closing, I’d like to thank those who have been part of our journey so far. We’ve come a long way from the early days in San Francisco. To everyone reading this article-I look forward to continuing this journey with you as we explore new ways of bringing data and analytics into more people’s lives.

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If you go through the trouble to create a report, but no one finds it interesting or don’t want to read it, will it do anything good? Certainly not! Therefore, it is necessary to research useful data visualization for creating reports. Whether you want to provide your team with better insights, or get your team’s support for a new initiative, read on to know how to make data visualization to create qualitative reports.

Know The Basics Of Data Visualization

Before you create graphics for your report, it is necessary to check the data for accuracy. Incorrect data in the reports may lead to an incorrect decision. So, make sure to deliver the right, valuable information. Below are the three basic principles of creating data visualization for a report-

— Pick the right graphics based on your goals.

— Ensure that the message in your graphics is relevant to the audience.

— Choose the right design for the graphic.

You also need to consider:

Purpose: Data analytics basically creates and analyzes the raw and unused Dara by transforming it into actionable data. These reports contain insights and also present data metrics, analysis, and conclusions in a visual format. This makes it easy for everyone in the organization to access and read data to make data-driven decisions.

Accessibility: Previously, creating reports with lots of data was a resource-driven and time-consuming task. Also, data pull requests were the most important thing for IT professionals, with lots of time analyzing, formatting, and representing data. However, with real-time, cloud-based reporting has changed the reporting game. The modern data visualization tools allow businesses to collaborate on various subject matter experts (SME). You can also export stunning reports that can be shared via automating emails.

Data types: Business data reports cover lots of topics and hold various organizational functions. These data reports are of varied length, format, and content. So, identify which data types you are using in your organization. Whether you want to present annual reports or accounting reports, you can use these reports by offering predictive and real-time insights to show in your organization.

If the message is right, but the graphic is dull, or there is a wrong insight, you won’t get the desired results.

Choose The Right Type Of Graph

Choose the wrong graph type, and the viewers will get confused. Therefore, it is important to know the data you want to visualize and the purpose behind it. Do you want to compare data points? Or, do you want to show the structure of something using data? Here are the popular chart types you can choose to achieve your goals-

Sankey Diagram (used to show the flow in the system)

Line chart (used for comparing changes within data sets)

Bar chart (when you want to compare several data sets)

Pie chart (shows the shares of each component in the data set)

Histogram (shows the distribution of data sets across a definite period of time)

Bubble chart (used for comparing two parameters via the means of the third)

5 point Likert scale (used for getting responses from respondents in survey analysis)

Adding the right design principles and choosing elements, like ordering, comparison, shape, size, color, etc., make a big difference in how people perceive the data.

Make The Correct Use Of Visuals

Another important thing you need to consider while making research useful data visualization is to choose the right message. The readers should be familiar with the data you include in the report. Also, make sure that the parameters you are going to visualize can be combined.

Besides, take into account the scale and scope. For example, most viewers are used to reading the measurement from the bottom or left of the axes. If you happen to change this direction, the audience may get confused. However, if you must reverse the order, you need to use some tactics so that it is clear and easy to understand.

Keep It Simple And Compelling

The simpler the chart, the easier it is to understand. You don’t have to use extra elements, different colors, structures, etc., to a standard report. Avoid displaying all the charts on the same dashboard by reducing the size of the visualizations. Ideally, don’t use more than three charts on one page. Furthermore, if it is a non-standard task, don’t hesitate to experiment with different visuals.

Compare And Pick The Right Visualization Tool

There are several data visualization tools available on the market. Some of these tools work online, while others need to be installed on the desktop. Many tools are free to use, whereas you need to pay for some. The best visualization tool is the one that caters to your needs and helps you create visuals with great insights. Some of the popular tools are Tableau, Databox, Google Charts, etc.

Conclusion

These are some of the ways to make data visualization and create engaging reports and communicate the key findings more effectively. If your report contains valuable information and compelling visuals, the in-house team, as well as the readers outside the company, will find it interesting. However, creating catchy and useful data visualizations is the first step to creating high-quality reports. You can use a good data visualization tool and solution to create visuals that create the most impact. These tools will help you create the most insightful visuals for your report effortlessly.

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When it comes to business intelligence, Microsoft Power BI from Microsoft Cloud is a good option for Data Visualization. With this, you can have complete and transparent access to your company data from any place and at any time. This makes working with data convenient even when you are on the move. To ensure you maximize the benefits of Power BI’s mobile capabilities and other features, it’s essential to have a solid understanding of the platform. For guidance on best practices and leveraging the full potential of Power BI, you can visit here for more information. By engaging with experienced consultants, you can learn how to optimize your data visualization and analytics processes, enabling your organization to make data-driven decisions even while on the go. Enlisted below are the new previews and features of Power BI, which Microsoft has brought forward in the June update:

Transparency slider feature for area charts 

With the new feature of the transparency slider, it is now possible to set the transparency of colored areas in your stacked area and area charts. This transparency was set to 60% by default in the previous versions, and this could not be modified as per user needs. You can adjust this transparency from the Formatting Pane by using the Data Colors Card. This can be useful for most power BI developers.

Visuals for paginated reports

This is a preview feature, which has been highly anticipated. Microsoft has announced a paginated report visual for Power BI reports, and this is now available on the Power BI desktop in the form of a public preview. With the help of this native Power BI visual, you will be able to extract any kind of paginated report, which has been uploaded to the Service in Power BI Report. This has been made possible for the first time. The power bi report developers will appreciate this feature.

With this feature in place, it is possible to wire up various fields from the Power BI dataset for being used as parameter values. Therefore, you will have a completely interactive experience with paginated reports, similar to any other kind of visual. This will be quite beneficial for power bi development.

Improvement of Q&A for inferred results

There are many questions from the end users which are incomplete or ambiguous. In such a situation, Q&A has to make some assumptions for producing visuals for such queries. In such scenarios, Q&A returns a natural language restatement or a visual depending on the interpretation of the queries of the end-user. However, it may be difficult for users to understand which part of the results was inferred.

In the new update that is released, this experience is improved significantly with the addition of the Showing Results for restatement with bolding of the inferences made by Q&A.

Small multiples: conditional formatting and responsiveness

In the June 2021 update, there are two new updates in the small multiples preview feature. Firstly, support is enabled for a responsive toggle in the General Card of Formatting pane. Various chart elements will gradually drop with responsive visuals as their size reduces. There will be more space for the plot area. For small multiples, adjustments have been made in responsive breakpoints to accommodate the potential presence of more than one plot area in the visual. Therefore, small multiple visuals will start dropping chart elements to make room for multiple plot areas.

Along with this, conditional formatting is also added to background colors and multiple small titles. You have to click the fx button adjacent to the corresponding choices in the formatting pane for launching the conditional formatting dialog. It is possible to set rules with which chart elements will be colored. With the help of this function, the background and multiple small titles will help in better communication of major data attributes.

Data Connectivity 

Innumerable updates, as well as new connectors, are made available with Power BI June 2021 update. Mentioned below is the full list of such connectors:

1. BQE Core- The new connector
2. SumTotal- The new connector
3. Assemble Views- The new connector
4. Azure Consumption Insights- The connector deprecated
5. FactSet Analytics The updated connector
6. Anaplan- The updated connector
7. Azure Databricks- The updated connector
8. Starburst Enterprise – The updated connector
9. Vessel Insight- The updated connector
10. Cognitive Data Fusion- The updated connector
11. Dynamics 365 Business Central The updated connector
12. Adobe Analytics – The updated connector
13. Google BigQuery- The updated connector
14. Snowflake The updated connector
15. Workplace Analytics The updated connector

DirectQuery support for Dataflows

Microsoft has unveiled DirectQuery Support for Power BI Dataflows. This feature is generally available for users. So, there is no need to import data into a dataset. Now the direct connection to a data flow can be established. This proves to be very useful in many situations and scenarios:

1. Serving data to customers in a well-managed manner.
2. Working easily and conveniently with big dataflows.
3. Minimization of orchestration needs.
4. Non-duplication of data between dataset and dataflow.

Using this capability, you have to explicitly toggle the compute engine after going into data flow settings. You will have to refresh the data flow before it can be used in DirectQuery mode.

Optimizations are being done constantly to underlying connectors for supporting import scenarios like folding query support for the dataset. There are also attempts to make connections to dataflow easy by bringing unified Power Bi dataflows and Power Platform connectors. Besides, plans of bringing a Dataflows connector to Excel are there.

New appearance for Power BI Windows App

This is a preview feature, which Microsoft released in the June 2021 update. In this, you will get to see the preview of the new appearance of the Power BI Windows App. It is highly impressive that the home page has been given an overhaul. You will find a centralized hub where all the Power BI content is located. You can access all the content quickly in a single place which makes working easy.

For enabling the new look and appearance of the Windows app, use the current version of the app from the store and open it. Right at the top of the screen, you will be able to see the New Look. If you want to experience the new look immediately, just toggle it on. There is no need to restart the app.

Wrapping up

Many more interesting features have been augmented in Power BI through the June update. The company will likely introduce some more features and enhance the preview features in future updates. To use these new features and meet your business data analytics goals, pick from the veteran power bi consulting services.

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This is the reason that the most valuable companies in the world are all technology businesses with billions of data points to map audiences – Apple, Amazon, Alphabet, Microsoft & Facebook.

Hence, the modern problem isn’t collecting data, which pours in easily with the right funnel, but the real challenge is making sense of it all. Data visualization, also known as information graphics/visualization simplifies bulked data sets to speak directly to decision-makers.

Importance of Information Visualization

The human mind is tuned to understand and store visual information more prominently than numbers & figures.

Our genetic markup is programmed to see, process, act, and store. This fundamental principle of psychology is the reason visual data is still integral in boardroom presentations, advertisements, and any form of customer conversion.

“It can communicate years of information in seconds with an increased impact”.

Broadly put, the following are some benefits of Data visualization:

• Predictive Sales 
• Finding areas of improvement
• Forecast trends & market shifts
• Knowing the factors affecting user behavior

The combination of these points leads to more data-backed decision making which helps in measuring business success and revising strategies for continued returns.

7 Data Visualization Trends for 2025

These technology inspired trends are making waves across industries and motivating people to use information graphics to attract consumers.

1- Social media marries visual data

The power of social media has turned individuals into brands and pushed companies to engage with customers through their social media platforms. 

Social channels capture the attention of users with images & visuals. Playing on the same visual bias of human psychology.

Data authenticates an idea or a point of view, this is where data visualization and social media meet.

350 million photos are uploaded on Facebook every day and 95 million on Instagram.

Twitter, a very text focussed social media network also couldn’t escape the pull of images. Tweets with images get 18% more clicks, 89% more likes, and 150% more retweets than just text tweets.

Data visualization has become integral for a successful social media presence.

2- Drag & drop for amazing visuals

The ability to visualize data isn’t just in the hands of designers or developers anymore.

Smart data visualization tools make it easy to bring attractive visuals to life by simply entering information and dragging attractive elements onto the image.

This democratization of data is the reason for the mainstream fame of data-inspired visuals. Easy accessibility is what’s making it popular throughout industries.

3- Beyond traditional graphs

Conventional design and graphs are not the only way to display information effectively.

Beyond standard visuals lies the scope of displaying brilliant images that appeal to audiences emotionally & through the displayed statistic.

2025 is showing creative ways to give shape and form to information. 

4- Customized for mobile

The future is mobile and it has been heading in that direction for the past 10 years. The approach isn’t to duplicate the desktop format of visualization but to create an entirely new way of presenting data that is comfortable and relevant for smaller screens.

By nature, small businesses are more experimental and flexible in integrating market trends.  Many startups realize the benefits of apps and the power of displaying customized data shaped specifically for smartphones & tablets.

This data-visualization trend isn’t new but it is gaining more and more popularity with each passing year. It hasn’t settled in yet, new methods are constantly tested by different companies to provide impactful data-backed visuals.

5- Data now has a story to tell

Interactive & real-time dashboards now communicate a story with cause and solutions. This summarised visual chunk of information is a lot more relevant, time-saving, and useful for people than going through tons of information & trying to make sense of things.

A good example of a visually rich dashboard is the one that you see throughout the Google Analytics site for your business website.

6- Media makes it mainstream

From sports analysis to political success and pole campaigns. Journalism is adopting information visualization in all aspects.

Integrating visuals in News reports makes a strong impression on the viewer and authenticates claims made by news reporters.

Although this does invite a world of questions about the legitimacy of the sources often quoted by media houses in their data reports it is irrefutable that this trend is here to stay.

7- Augmented Analytics

The use of powerful AI & ML for making sense of big data and presenting it visually is a trend that is attracting many eyeballs.

This entire process can also be automated for added convenience. This could become a major tool for predictive analytics & more data-fueled decision making.

According to  IDC, the spending on Artificial intelligence systems will peak to $77.6 billion by 2025. An astounding figure that validates the importance of smart technologies in shaping data visualization for business use.

5 Tips for impactful data visualization

The following design & text dips will help in making a big impact and create better recall amongst viewers.

1) Keep the widgets simple ~ Uncomplicated and easy to understand design elements make images more understandable.

2) Use contrasting colors ~ Black & White, White & Red, White & Green, these are a few examples of contrasting color combinations. Simply put, light & dark shades mixed together are more captivating and memorable.

3) Relevant facts only ~ Try not to add too much information. Less is more with image content.

4) Catchy headings ~ images speak for themselves but they go even better with catchy headlines.

5) Use Dashboards ~ If a fresh & accurate content display is the goal then a real-time dashboard can make it very easy to have all relevant information in one place.

Conclusion

Data Visualization makes use of our preference for images and combines it with researched data. It is the most ideal way to summarize & display data to form predictions, plan strategies, measure performance, and create a lasting impact on users. The practice of visualizing findings is gaining massive appeal in all walks of our lives. This is precisely why creating impactful visuals have become so easy in 2025. These 7 trends will push the ceiling of creativity even further until data visualization becomes a common practice across domains.

New trends & techniques are set by bold organizations that go for out of the box solutions and in the process re-invent existing ideas.

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Source

Probably yes.

Then you know that comprehending such information can be tedious.

Now, imagine information in the form of pie, tables, lines, bars, dots, slices, icons, and others.

Don’t you think it will be much easier to understand?

If you are thinking yes, then you should also know that in the world full of data, the picture is worth way more than thousands or millions of words.

Why is this?

This is because our brains are these giant image processors. According to a study, 90% of the information transmitted to the brain in the form of visual data.

In the world where artificial intelligence rules, big data has become the lifeline of companies. Hence, if any businesses want to empower their teams, they need the correct data and ways to properly interpret it.

Visualization can provide you with one such power that is a solution to the biggest issues of misalignment between sales and marketing. But first, you should know the reason behind the rift which is a lack of comprehension about each other’s work.

For instance, if a sales team is not closing new business, they blame marketing teams for bringing low-quality leads. On the other hand, the marketing team blames the sales and development process.

This is the place where data visualization enters.

By, tapping into visualization you can create representations of data that appeal to the brain. It will align both of your sales and marketing teams and help them understand how the other words. We’ll see more about this below.

Till then let’s quickly understand a little more about data visualization.

What is Data Visualization?

Data visualization is the study of the representation of data by using a visual or artistic approach.

The two of the most popular types of data visualizations are dashboards and infographics. Both use a combination of charts, text, and images to interpret data.

They transform data into meaningful and useful information via some form of visualization called Business Intelligence (BI).

This is pretty much what you need to know about data visualization. You’ll find the answers to all your questions below.

So, here are some of the data visualization techniques to help you enhance your sales and marketing team.

What Can Data Visualization Do for Your Sales Department?

1. Keep Track of Trends

We all know how the sales and marketing teams. One major aspect of their work is to stay updated with new trends. This is because even a slight spike in the data might require immediate and prompt action.

They need to be constantly updated with data as soon as possible. But, in such a case reading thousands of spreadsheets or entries won’t do any good.

Hence, data visualization can be an enormous help. For instance, a waterfall chart can be used to track changes over a specific period, for example, blog traffic.

Let’s understand it deeper, information on the blog showing a 28% increase in views though a waterfall chart and 60% of all website visits through a bar/line chart can help a sales analyst conclude that blog posts are driving healthy increase traffic.

It will be highly unlike a data-sheet filled with numbers which will take a lot of time to figure.

2. Productivity

A report says data visualization tools have 28% more chance to find information on time than those who rely on reporting. This will also mean that your employees can spend more time being productive with the capability to visualize data.

The report also concludes, about 48% of business intelligence users rely on visual data discovery to find the information without the help of IT staff.

Hence, if you are a firm that wants to increase the productivity of your staff, it might be helpful to decrease the load on them.

With the help of data visualization tools and software, you can increase the productivity of your employees.

3. Swift Response

The human brain can process images 60,000 times faster than numerical or textual information.

Data visualization can bring a new level of clarity and transparency which can enormously help decision-makers in the sales department to make informed and swift decisions.

For instance, a sales manager who receives the information on time is capable of managing sales activities and notifying other parties related to the CRM.

Visualization fosters fluidity between teams to make sure that all the necessary actions are taken in a timely manner.

Therefore, if you are a company that struggles with balancing both sales and marketing teams, it might be better for you to opt for data visualization. It will help your clarity and transparency in data sharing and decision making.

4. Data Integration from Several Sources

We all know how different sales and marketing team’s work. But, more often than not we fail to realize they use different tools for the collection and interpretation of data.

The integration of data is important because it brings all the data in one place, meaning it is all accessible in one place. This also means that both of your teams will know what the other team is looking at, making communication clearer.

Hence, another crucial aspect of data visualization is improved integration of data. Data visualization software solutions create a common platform that integrates data of sales and marketing teams. 

Lastly, with clear data visualization, the impact of data on sales and marketing activities can be analyzed to further help in differentiate patterns based on activities.

So, if you are struggling with the management of data and find it all over the place then you know what you need to opt for.

5. Communications

“Any problem, big or small, within a family, always seems to start with bad communication. Someone isn’t listening.” – Emma Thompson

Communication is a big problem for all businesses. Both businesses and employees suffer due to poor communication and to reduce this gap, businesses can make sure that your teams are using the same analytics tool.

How will this help?

Using the same data visualization and analytics tool will provide them with the same information. This will give them enough transparency and they will interpret the data in the same way. 

There is also another way data visualization can improve communication. If a manager wants to tell a sales rep about what they are doing wrong, visual communication will help him/her understand it much faster. 

Let’s take an example, executive officers want to know high-level information and you have to provide them with a proper report. What is the major problem you will face?

For one it can be that these reports are time-consuming to create and can be confusing to read for them.

What will you do?

Data visualization can help you solve this problem, actually the problem of both parties by empowering sales managers to communicate more clearly. At the same time, the executive can use visualization to find improvement. 

6. Track Goals and Results

Have you ever found yourself not aligned with your goals because you lost track or maybe your daily, weekly, and monthly goals are all over the place?

Then data visualization is for you!

Visual representation of data can be very effective to help monitor progress especially when you have more than one business goal.

For example, data visualization can help monitor sales performance for revenue, the status of the deals in the funnel, and the percentage of closed deals.

Having everything in one place provides ease in accessibility, at the same time clear and concise data provides easy to understand information.

This provides sales managers with insight which then helps them take specific goal-focused actions.

An example of such action can be directing the team to generate more deals from those that remain in the negotiation phase.

7. Reporting and Monitoring Client’s Accounts

Companies that generally have to manage client’s accounts such as inbound marketing agencies can easily monitor reports.

For account managers consulting multiple accounts and monitoring their sales and marketing KPIs on a daily, weekly, and monthly basis to track goals can be tough.

Data visualization can help us combine information from multiple accounts in one. This enables teams to view the results of all accounts in one and assess priorities for actions.

Bottom line:

The world is moving fast and most of us don’t have the time and patience to browse through hundreds of documents for information. Data visualization can help us solve this problem by making data simple to read and understand.

If you want to leverage the benefits of data visualization in your firm there are several data visualization tools you will find out there.

In this blog, we have shared some data visualization techniques which will help you boost your sales and marketing teams.

Data visualization is an important tool and using is right will give you unprecedented power over your data.

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