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Data Visualization: The Service for Full Data Understanding

We translate the data language into graphs and charts. And, like any modern translator, DATAFOREST has experience using AI for this. We'll make your visualization of data understandable so you can make better decisions.

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Data Visualization Solutions – From Raw Data to Intuitive Presentation

Since the nature of the data itself is multifaceted, users' needs are diverse, and technologies are constantly evolving, we have different solutions for data visualization.
01

Data Platform Development

  • Our platforms are designed to be scalable, meaning they expand seamlessly to handle ever-growing big data.

  • We use the latest and greatest database management systems and big data tools to store, access, and analyze massive datasets quickly.

  • The solution makes sure your data is organized, easily accessible, and efficiently processed so you can get the data analytics visualization in a flash.
02

Custom Visualization Solutions

  • We don't believe in one-size-fits-all when visualizing data, so we create custom solutions that cater to unique business needs.

  • The advanced visualization libraries and tools bring your data to life with interactive charts, dynamic graphs, and engaging visuals.

  • Such solutions help to uncover hidden trends, identify opportunities, and make data-driven decisions that move you forward.
03

Integrating Your Data Vision

  • We build, customize, and integrate data visualization software to make it a natural extension of your existing tools.
  • We're experts at connecting your business intelligence software with other systems, like your data management, CRM, or ERP platforms.
  • Your data visualizations do more than look good. Our integration transforms them into tools that fuel faster decision-making.
04

Dashboard and Report Optimization

  • We tune up your existing dashboards and reports to ensure they run smoothly, look great, and quickly deliver the needed data.
  • Our team makes dashboards faster, more efficient, and easier to use by streamlining the data processing and optimizing visuals for everyone who uses them.
  • We tailor dashboards to your specific business goals and incorporate user feedback so that you get the most value out of your data.
05

Data Visualization Consulting

  • We help you navigate the vast landscape of your company's data, pinpointing the most valuable nuggets and showing you how to save money along the way.
  • Uncover with data visualization consultants hidden patterns that reveal what your customers truly want and need.

Industry-Specific Solutions

Every industry has different types of data, goals, and people using the information. Our solutions are customized to handle each industry's unique challenges and opportunities.

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Finance
  • Track finances efficiently with intuitive dashboards and reports that provide real-time insights into spending patterns, trends, and budget status.
  • Identify potential risks using clear visualizations that highlight key income and expense areas, helping to mitigate risks and optimize profitability.
  • Discover hidden savings opportunities by pinpointing areas where costs can be reduced and identifying potential acquisitions that align with business goals.
  • Analyze spending inefficiencies with data-driven visuals that reveal unnecessary expenses, such as an oversized budget for office supplies signaling over-purchasing.
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Manufacturing
  • Analyze equipment efficiency by using data to pinpoint bottlenecks and identify opportunities for improved performance at every stage.
  • Optimize production processes by uncovering hidden issues that slow down operations and providing solutions for a smoother workflow.
  • Predict performance outcomes with data-driven insights to assess the impact of new or upgraded machinery before making investment decisions.
  • Visualize production bottlenecks through connected flowcharts that highlight slowdowns—like a quality control step taking longer than expected—helping to prevent delays.
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Healthcare
  • Analyze patient sentiment by using data visualization to understand feedback, identifying what patients appreciate and areas needing improvement.
  • Track patient flow throughout the facility, from waiting rooms to exam rooms, to streamline processes and reduce wait times.
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Retail and E-commerce
  • Analyze target audience behavior with data visualization to uncover customer preferences and craft marketing campaigns that resonate.
  • Optimize pricing strategies by leveraging market trends and customer data to set competitive prices that maximize profitability.
  • Forecast market trends using data insights to anticipate consumer demand, optimize inventory, and refine marketing strategies for a competitive edge.
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Logistics and Supply Chain
  • Identify goods demand by using data visualization to track product sales, ensuring the right stock is in the right places to prevent shortages.
  • Optimize order planning and management by streamlining supplier coordination, ensuring timely deliveries without overspending.
  • Analyze procurement costs to uncover savings opportunities, allowing better allocation of resources for business growth.
  • Forecast supply chain risks with predictive data insights, enabling proactive planning to prevent supplier issues and delays.

Cases of Using Artificial Intelligence and Machine Learning

Check out a few case studies that show why DATAFOREST will meet your business needs.

Emotion Tracker

For a banking institute, we implemented an advanced AI-driven system using machine learning and facial recognition to track customer emotions during interactions with bank managers. Cameras analyze real-time emotions (positive, negative, neutral) and conversation flow, providing insights into customer satisfaction and employee performance. This enables the Client to optimize operations, reduce inefficiencies, and cut costs while improving service quality.
15%

CX improvement

7%

cost reduction

Alex Rasowsky photo

Alex Rasowsky

CTO Banking company
View case study
Emotion Tracker preview
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They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
5%

customer retention boost

25%

profit growth

Christopher Loss photo

Christopher Loss

CEO Dayrize Co, Restaurant chain
View case study
Client Identification preview
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The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
2x

faster service

15%

CX boost

Brian Bowman photo

Brian Bowman

President Carsoup, automotive online marketplace
View case study
Entity Recognition preview
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Technically proficient and solution-oriented.

Employee Tracker

The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
100h+

manual work reduced

13%

work experience boost

Bernd Herzmann photo

Bernd Herzmann

CTO Retail company
View case study
Employee Tracker preview
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DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.

Show all Success stories

Technologies of Artificial Intelligence and Machine Learning

Pandas icon
Pandas
SciPy icon
SciPy
TensorFlow icon
TensorFlow
Numpy icon
Numpy
ADTK icon
ADTK
DBscan icon
DBscan
G. AutoML icon
G. AutoML
Keras icon
Keras
MLFlow icon
MLFlow
Natural L. AI icon
Natural L. AI
NLTK icon
NLTK
OpenCV icon
OpenCV
Pillow icon
Pillow
PyOD
PyOD
PyTorch icon
PyTorch
FB Prophet icon
FB Prophet
SageMaker icon
SageMaker
Scikit-learn icon
Scikit-learn
SpaCy icon
SpaCy
XGBoost icon
XGBoost
YOLO icon
YOLO

Our Advanced-Data Visualization Journey

The following processes (steps) provide a framework for implementing AI and ML into businesses, ensuring effective utilization of data, model development, deployment, and continuous improvement for achieving desired objectives.
Unique delivery
approach
Data Collection
We deeply analyze your goals, budget, and timeline, gathering data from all corners of your business to provide insightful data analysis and visualization.
01
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Data Refinement
We scrub your data effectively, removing any junk that might mess up the results and map out a plan to ensure it is ready for its visual transformation.
02
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Data Organization
We categorize and structure your data to create a clear roadmap for analysis and visualization.
03
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Data Filtering
We trim the fat from your data, honing in on the most relevant insights for a clearer, more focused picture.
04
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Data Visualization
We tailor your data into visually compelling charts, diagrams, tables, and maps, choosing the perfect templates for data science visualization.
05
Improved Collaboration Among Healthcare Teams
Collaboration and Kickoff
We collaborate with you to refine the visualizations and ensure they perfectly align with your vision, then hit the ground running on your project, providing regular updates.
06

Challenges That Data Visualization Solutions Help Overcome

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Difficulty in
Understanding
Large and
Complex Data
Raw data is often overwhelming and difficult to interpret. Data visualization simplifies this by presenting information in an intuitive, digestible format.
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Lack of Actionable
Insights
Without proper visualization, patterns, correlations, and trends remain hidden. Data visualization tools uncover insights that drive informed business decisions.
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Slow and Inefficient
Decision-Making
Manually analyzing data takes time and can lead to delays. Interactive dashboards and visual reports enable real-time decision-making.
Innovation & Adaptability
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Miscommunication
and Data
Misinterpretation
Spreadsheets and raw reports can be confusing, especially for non-technical teams. Data visualization bridges the gap by making data more accessible and understandable across all departments.

Data Visualization Benefits

We take messy data and turn it into clear visuals. Make decisions faster, spot problems before they blow up, and tell a compelling story about your company's success.

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Spot weak links in your team or processes and predict when things might slow down.
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Analyze big data in a flash and see the big picture without getting lost in the details.
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Create custom dashboards and reports showing exactly what you need to know.
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Predict the next big thing before it happens and stay ahead of the curve.
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Turn boring numbers into engaging stories that get everyone on board with your vision.
analytics
Get a crystal-clear snapshot of your business's performance and direction.

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Still have questions about data science services?

What is data visualization in business analytics?
How can data visualization improve decision-making?
Which tools are used for data visualization?
How does data visualization help in business?
Can data visualization handle big data?
How do I choose the right data visualization service?
How secure are data visualization services?
How long does it take to make a data visualization?
What are the costs associated with data visualization consulting?
How does the integration of machine learning for data science enhance the capabilities of ML data science?
What is the function of a machine learning database in the context of ML algorithms?
What is the role of a machine learning company in the business sector?
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