Data Analytics & Business Intelligence

Data analytics has dominated almost all the industries of the world and data collection has become an important part for any organization.

Data Analytics & Business Intelligence

From Today to Tomorrow

Data analytics has dominated almost all the industries of the world and data collection has become an important part for any organization.

These days every click or scroll you do and every time you open an app, huge amounts of data are being generated and stored for business intelligence and data mining.

Various industries like finance, banking, transportation, manufacturing, e-commerce, and healthcare use this data to make smarter decisions, gain meaningful insights, and predict outcomes.


Why data analytics and business intelligence?

Businesses today are increasingly using data science to uncover patterns, anticipate developments and predict outcomes using the wide variety of BI tools.

We work to reduce information delivery costs by ensuring adoption and integration of BI tools for improved & informed decision making that positively impacts the bottom line and improves the ROI.

By providing you the right set of business intelligence solutions, we turn your historical and contemporary data into an asset that provides you with actionable insights.


What about my data?

Whether your data is in spreadsheets, relational databases, or in different object stores, we are able extract the information, transform it, and load it to the analytic and intelligence toolsets.


Data Analytics
Analyze, Optimize, Predict

Our focus in data analytics is to use different data mining, modeling, and statistical learning techniques to understand the underlying concepts of what is working for your business and which areas need improvement. This is where our expert team of data analysts utilize statistics and machine learning to answer key questions such as “why a specific product is not performing well compared to the others?” (analyze), or “what would be a good price for the new product being launched?” (optimize), or “how many products need to be ordered to keep up with the upcoming sales cycle?” (predict).


Types of data analysis
There are three main methods of data analytics:

  • Descriptive: Analyzing historical data to identify trends and patterns using reporting or clustering techniques
  • Predictive: Using forecasting methods and feature analysis to predict outcomes
  • Prescriptive: Applying scenario and simulation analysis to determine consequences and optimize the best results

Not having an analytics strategy can lead to a lack of trust, decreased customer satisfaction, higher risk, less R&D innovation, and missing on great opportunities. Business analytics and management science go hand in hand since value driven analytics leads to decision making processes that may use human input or may go fully automated.


Business Intelligence
Monitor, Interact, Report

Business intelligence consists of using key metrics of your organization to query and report historical performance that monitors and guides business planning. This enables users and stakeholders to analyze multidimensional data from different perspectives and aggregations using interactive toolsets; This is usually referred to as Online Analytical Processing (OLAP) and requires a multidimensional data model that enables complex analytical and ad hoc queries that has minimum execution time.


Long term decision making

Our BI tools empower your organization to combine your internal and external data to form a complete picture. We can create different dashboards and reports based on the need of each department. This in turn enables stakeholders to capture facts, apprehend trends and react accordingly.


Improve customer experience and employee satisfaction

Deploying BI systems across multiple departments enables employees to identify opportunities, analyze text data from customer surveys, and improve customer satisfaction. Furthermore, this allows employees to directly interact with data, find shortcomings in their division and improve where necessary which in turn reduces the time for analysts to create specific reports and dashboards for data hungry employees and managers. Weekly or monthly reports can be summarized in snapshot dashboards with their aggregation that drill into detailed information while enabling customization per need.


Supporting your needs

The Allwyn BI professionals determine what works best for you. We are experts at gathering, storing, and managing your information. Whether by using your existing data repositories or providing alternative solutions that enable fast queries and aggregations, we optimize your data to evaluate complex corporate information that delivers value.

Talk to us today and let us help you to grow your business
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