Analyzing data is going to change your business
Every Company is a Data-Driven Organization
In today’s world, every organization relies on data to make informed decisions. Data analysis enables teams to share insights and use dashboards to make collective, well-founded decisions. It’s important to recognize that data doesn’t always have to come from your organization—data is everywhere! For instance, the governments (e.g., in the Netherlands for sure) provide various datasets that can help uncover trends in your organization. The journey of data analysis begins closer than you might think.
Analyzing Data: Develop suitable method
The internet is flooded with data analysis methods, each promising results from different perspectives. Should one use qualitative or quantitative approach, how much math do you want with your analysis? We won’t bother you with these questions in vain. The key is us finding the right method that aligns with your business needs.
At EasyData, we believe businesses should focus on their core activities while we tailor data analysis methods to suit their specific questions. Our goal is to deliver measurable results by involving employees across departments to contribute their insights. This collaborative approach fosters a deeper understanding of data and its impact on your organization.
Techniques for data analysis
Gone are the days when data analysis was solely the domain of specialized teams. Today, advancements in technology have democratized data analysis, making it accessible to anyone with a need.
While numerical data analysis is common, EasyData also specializes in analyzing text, videos, and images. Our experience in these areas has yielded remarkable results, as showcased in our end of the year videos.
Descriptive data analysis
Descriptive analysis focuses on historical data, answering the question: What happened? This method is especially useful for organizations looking to review past trends and performance.
For historical descriptive analysis, we often use tools like Excel with pivot tables and macros, as well as advanced dashboards like Grafana or Microsoft. Our expertise ensures that we provide practical, user-friendly examples tailored to the needs of your team.
Diagnostic data analysis
Diagnostic analysis dives deeper to answer the question: Why did it happen? This method is invaluable for understanding trends and identifying areas for improvement.
For instance, turnover fluctuations can be analyzed against seasonal patterns, marketing campaigns, or media coverage of products, services, events, etc. In this case, “measuring is knowing” as this link confirms:
“COLLECT AS MUCH DATA AS YOU CAN GET”
By collecting extensive historical data, organizations can draw meaningful insights to improve their processes and performance. And here, “the more, the better” principle perfectly applies. For example, you cannot determine seasonal trends within a year; for valid results, the input of multiple years of data is important.
Predictive data analysis
Predictive analysis focuses on forecasting future events based on historical data. Humans have always tried to predict the future. Yet, we know that people are generally bad at predicting it, while recuring to all kinds of tools and rituals throughout the centuries. Therefore, predictive analysis comes into the picture and brings scientific precision to the task.
For example, the Crime Anticipation System (CAS) used by police demonstrates how predictive analysis can estimate the likelihood of certain events, enabling better preparedness.
Prescriptive data analysis
Prescriptive analysis takes predictive insights a step further by using Machine Learning (ML) and Artificial Intelligence (AI) to recommend actions.
Self-driving cars are a prime example of prescriptive analysis in action. These vehicles make real-time decisions using algorithms that replicate human judgment. Similarly, the Internet of Things (IoT) leverages prescriptive analysis to drive rapid innovation.
Analysing data? Consider external Data Science expertise
Remote work has become the norm, an ideal situation for organizations mainly dealing with computer screens in their daily processes. We can already call these organizations a data organization. Do ‘we’ miss the physical contact? Has the work become more difficult?
At EasyData, we do not observe any issues caused by remote collaboration. Our challenges in a team context have not changed, and we organize our informal ‘coffee corner’ meetings differently (read more effectively). Our team organizes virtual meetings efficiently, ensuring no loss of valuable insights. EasyData is set up to carry out data analysis projects remotely and share those benefits with your organization!
By partnering with us, you gain access to a team of specialists who collaborate to deliver accountable results. With EasyData, you’re not limited to the knowledge of a single freelancer.
Accessible knowledge for your organization!
Suppose that, as an organization, you are keen to discover trends in relation to absenteeism or want to assess turnover increases with modern data analysis techniques. Compiling datasets can become a costly undertaking for an organization where data analysis is not directly the focus.
Data analysis doesn’t have to be expensive. EasyData can help create datasets or source existing ones to suit your needs. With countless datasets available online, our specialists know how to find and leverage the right data for your organization.
EasyData Data Science team unites different talents who work together in a close-knit team to achieve the best result. That brings a lot of value to your organization with a one-off assignment, do not limit yourself to the knowledge of one freelance data specialist.
Excel: A Trusted Tool for Data Analysis
Excel remains a powerful tool for data analysis. EasyData has developed techniques to structure and deliver data from various sources directly to Excel.
For example, we created a system in 2015 that automatically downloads annual reports, extracts balance sheet data, and organizes it in Excel. This streamlined approach saves time and resources.
Data analysis trends
Our mission is to be at the forefront of Data Analysis innovations without losing sight of the reality of result-driven analysis results. In our upcoming conversation, we will not dwell on our Data Science innovations of ten years ago but will take you through the current changes that are possible today.
What concrete steps can you take to make your organization more data-driven?
Together, we will list the opportunities and possibilities so that you can continue effectively!
Data Analysis Trends and Future Steps
A dataset is nothing more than a collection of data. In the case that the data is in a table, the data (read: the dataset) can be traced back to one or more database tables. The number of available datasets grows every day. So, it is impossible to give an overview of this however, together, we’ll identify opportunities and chart a path toward more data-driven decision-making.
| Overview of Dutch Datasets |
|
| Government data register | Education |
| Search engine Open Data Netherlands | Public transport timetable |
| Open data from CBS | Public transport buses |
| Datasets of geodata | Public transport trains |
| The Dutch Bank | Tax authorities |
| The Land Registry | Oil and gas |
| The National Archives | Sociological research |
| The Dutch Healthcare Authority | KNMI (Royal Netherlands Meteorological Institute) |
| Dutch Healthcare Institute | Archaeological research |
How Do You Analyze Data?
We can imagine that, when you arrive at this article section, you can no longer see the trees through the digital forest so clearly. That’s completely normal. The good news is that you only need to focus on understanding your business; analyzing data is our expertise.
Our role is to deliver results and insights that drive your organization forward. As mentioned earlier, the datasets listed are just a glimpse of what’s possible. The takeaway here is simple: your organization has evolved into a data-driven entity, and the structured data around you is reshaping economic dynamics. Let us help you navigate these changes with confidence.
View on Data
Predictive data analysis unveils hidden insights that can transform decision-making. That’s the promise behind our business intelligence solutions.
We tailor data analysis systems to meet your organization’s needs—whether through Software as a Service (SaaS) or on-premises solutions. With your goals and budget at the forefront, we deliver tools that empower your team.
Secure Data Processing
At EasyData, we manage a large-scale data center designed to process data securely and in compliance with GDPR requirements.
Most documents today are “born digital,” simplifying the processing workflow. For legacy content, we use Optical Character Recognition (OCR) to digitize millions of pages within weeks, ensuring no data is left behind.
Big Data
Unlock the power of Big Data to gain insights that were previously unattainable. With no obligations, we provide you with the tools and infrastructure to explore data-driven opportunities.
By utilizing available data effectively, your business can gain a comprehensive overview, enabling smarter and more efficient operations.
Algorithms
Our solutions transcend single platforms—we’re continuously innovating. This allows us to provide affordable access to the insights that industry leaders already rely on.
Using our “Best of Breed” predictive data analysis technology, we offer actionable knowledge and insights without requiring an upfront investment.
Data validation
How do you ensure the accuracy of your results? We address this through our smart cloud-based validation system.
By connecting to relevant data sources, our solutions facilitate intuitive understanding and create a clear overview of the data analysis process. You’ll have confidence in every decision you make.
Opportunities
Improve your daily efficiency with cutting-edge technological innovations. Discover hidden opportunities and make smart decisions.
Our solutions help you structure documents to meet GDPR or other compliance standards, visualize insights from historical data, and extract tangible value from your old data.
Data perspectives
We all value monitoring, process speed and control over it. Our customizable reporting solutions ensure you get the insights you need, presented in the way you prefer. Whether you need advanced calculations in Excel or a bespoke online dashboard system, we’ll create the perfect solution for your data analysis needs.
