banner
[rev_slider alias="xamin5" slidertitle="xamin5"][/rev_slider]

the Power of Visual Analytics.

Dashboards offer several advantages over traditional PowerPoint (PPT) or PDF reports, providing a more dynamic and interactive approach to data visualization. Here are some key benefits of using dashboards:

interactive (1) 01
Highly Interactive

Enable users to interact with the data, drill down into specific details, uncovering insights that may not be immediately apparent in static reports

settings 02
Customizable

Allows the creation of customized views for different user groups based on their role/ requirements, ensuring relevance and clarity for each audience

software 03
Adaptable to Changes

Easily update or modifiy reports/ dashboards to accommodate changes in data sources, metrics, or business requirements and emerging trends

distributed 04
Data Integration

Can pull data from various sources, providing a holistic view, enabling it to be part of a connected data ecosystem, enhancing overall business intelligence

data-analysis 05
Faster Data Exploration

Provide a more efficient way to users to navigate through large reports, focusing on KPIs and critical metrics, enabling quick assessments of overall performance

transfer 06
Fast Almost Real-Time Data

Allowing users to access the latest data make informed decisions early without waiting for manual report generation using real-time or near-real-time updates

Process

How it Works?

Scope Discussion and Stakeholders’ Initial Inputs

  • Define the scope of the project, emphasizing specific deliverables
  • Align project goals with end-user expectations
  • Establish a preliminary project timeline
  • Discuss technology considerations and preference
  • Establish an open channel for ongoing communication
img

Data Gathering Preparation and Brainstorming

  • Discussion on the questionnaire and data structure, study segmentation, and target outcomes
  • Identifying preferences for dashboard structure, color palette, fonts, and logos
  • Gather raw data structure and detailed analysis plans based on study requirements
portfolio

Dashboard Development

  • Devloping script to transform the raw data into structured (that dashboard tool understands/expect)
  • Devloping data model to accomodate additional calculations and data filtering
  • Creating charts and graphs based on analysis plans
  • Building the actual dashboard structure using mockups as a guide
  • Applying design preferences, including color schema and fonts
  • Share the initial dashboard draft with the stakeholder/client for review

Client Feedback and Iteration

  • Gather feedback on usability, accuracy, and design.
  • Conduct multiple discussions to refine the dashboard model, schema, and design.
  • Ensure alignment with client expectations and project objectives
  • Reaching consensus on design elements and visual aesthetics
img

Final Review, Update, Presentation and Distribution

  • Receiving the finalized data set from clients/stakeholders
  • Updating the dashboard to reflect the latest information
  • Addressing any last-minute adjustments or refinements to ensure coherence with the updated data
  • Delivering/hosting final dashboard on confirmation from client/stakeholder
img
Feartures

Highly Interactive

dashboards leverage dynamic filters, cross interaction, and informative tooltips to empower users with interactive tools for data exploration. These features not only enable a more personalized and in-depth analysis but also reveal nuanced insights that may remain hidden in static reports.

Dashboards allow users to implement dynamic filters, enabling them to interactively refine the displayed data based on specific criteria or parameters.

Users can easily explore data subsets by adjusting filters, providing a customized view that aligns with their specific analysis or reporting needs.

Dashboards facilitate cross-interaction between different visual elements, allowing users to see how changes in one part of the visualization impact other related components.

Cross-interaction enhances the holistic understanding of data relationships, enabling users to identify correlations and dependencies that may be overlooked in static reports.

Dashboards often incorporate informative tooltips that provide additional context or details when users hover over specific data points or visual elements.

Tooltips enhance the user experience by offering on-the-fly insights, allowing users to glean more information without cluttering the main visualization, fostering a more efficient analysis process.

Features

Customizable

Dashboards allow the inclusion of content that caters specifically to the information needs of different audiences. Whether it’s presenting financial data for executives or operational metrics for front-line teams, the dashboard can be configured to deliver the most meaningful insights to each audience segment

Role-Based Personalization (Relevant Data)

Users can customize their dashboard based on their roles, ensuring that individuals with different responsibilities have access to information pertinent to their functions

Role-based Personal. (Customized Views)

Dashboards enable the creation of tailored views that cater to the specific needs and preferences of different user groups within an organization

img
img
Fetaures

Adaptable to Changes

Faff about only a quid blower I don’t want no agro bleeding chimney pot burke tosser cras nice one boot fanny.!

Data visualization tools offer a high degree of agility, allowing users to easily update or modify reports and dashboards in response to changes in data sources, evolving business requirements, or emerging trends

Users can make seamless modifications to visualizations, ensuring that the reports remain relevant and aligned with the dynamic nature of the business landscape

The flexibility to accommodate changes ensures that reports and dashboards are future-proof, capable of evolving alongside the business and technological advancements without significant disruption

Dashboards can be adjusted in real-time, enabling organizations to respond swiftly to changes in data structures, metric definitions, or the introduction of new business parameters

Features

Faster Data Exploration

Provide a more efficient way to users to navigate through large reports, focusing on KPIs and critical metrics, enabling quick assessments of overall performance

Efficient Navigation

Allowing users to easily move through large reports without the need to sift through pages or sections.

Focus on KPIs and Critical Metrics

Presents KPIs & critical metrics - eliminates the need for users to search for info within extensive reports

Assessments of Overall Performance

Instantly accessing and interpreting the highlighted KPIs and critical metrics - accelerating decision-making and response times.

img
portfolio
img
Features

Data Blending and Integration

Long established fact that a reader will be distracted by the readable content of a page when looking at its layout.

Connectivity to Diverse Data Sources

Enables users to pull in data from various systems, ensuring a holistic representation of information

Data Modeling and Schema Design

Allows users to define relationships and hierarchies in the data enabling complex and insightful visuals

Features

Fast Almost Real-Time Data

Unlocking Analytical Efficiency

DAAVIZ (2)

In data analysis, analysts often spend up to 40% of project time crafting reports in PowerPoint or Word, diverting focus from core analysis. Traditional reporting, done post-data receipt, leads to delays, especially in quarterly reporting.

Dashboards offer a transformative solution. Analysts save time on manual tasks, channeling efforts into deeper data analysis. Dashboards expedite report delivery, providing real-time insights early in the process. This approach ensures more agile decision-making, aligning analytics with the pace of modern business.