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Data Science Services

Turn data into insights

Social network content, location and mobile data, video sensor data, enterprise application data and more are being generated at phenomenal rates. If you can harness your enterprise data, it can dramatically improve decision-making right across your business – from product design to supply chain management. But that’s easier said than done. Managing data requires a transformation in both your business and IT.

We at Stride IT Solutions, with our experience, skills and tools, we can help small, medium and corporate businesses derive value from enterprise data that match the key business needs of the organisations to achieve measurable business benefits.

We use data to revolutionise your business. We set ourselves apart with our multi-disciplinary approach, getting to the root of the business problem before delivering the most suitable solution in order to improve our clients’ businesses and maximise ROI in turn.

We can leverage industry best practices and analytic methods to turn data into insights that can solve a variety of challenges for business stakeholders. Empower clients to gather important insights from structured, semi-structured, and unstructured data across internal and external data sources.

If you require any additional information, please contact us and a specialist will get in touch with you.

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What is Data Science?


Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems.

At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value.

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Data science is the same concept as data mining and big data: “use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems”.

Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.

If you require any additional information, please contact us and a specialist will get in touch with you.

Request a quote or contact us for more details.

Applications of Data Science

The role of Data Science Applications hasn’t evolved overnight. Thanks to faster computing and cheaper storage, we can now predict outcomes in minutes, what could take several human hours to process.

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do.

These are some applications but by means limited to where data science can be used to analyse data and derive future predictions and trends.

  • Fraud and Risk Detection
  • Healthcare
  • Internet Search
  • Targeted Advertising
  • Website Recommendations
  • Advanced Image Recognition
  • Speech Recognition
  • Airline Route Planning
  • Gaming
  • Augmented Reality

    If you require any additional information, please contact us and a specialist will get in touch with you.

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How does Data Science work?

This aspect of data science is all about uncovering findings from data. Diving in at a granular level to mine and understand complex behaviors, trends, and inferences. It’s about surfacing hidden insight that can help enable companies to make smarter business decisions.

In simple terms, a data sciene is to analyze data for actionable insights.

Specific tasks include:

  • Identifying the data-analytics problems that offer the greatest opportunities to the organization
  • Determining the correct data sets and variables
  • Collecting large sets of structured and unstructured data from disparate sources
  • Cleaning and validating the data to ensure accuracy, completeness, and uniformity#
  • Devising and applying models and algorithms to mine the stores of big data
  • Analyzing the data to identify patterns and trends
  • Interpreting the data to discover solutions and opportunities
  • Communicating findings to stakeholders using visualization and other means

If you require any additional information, please contact us and a specialist will get in touch with you.

Request a quote or contact us for more details.

How can data science add value to your business?

Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, data science is valuable to any company in any industry.

1. Empowering management and officers to make better decisions

2. Directing actions based on trends—which in turn help to define goals

3. Challenging the staff to adopt best practices and focus on issues that matter.

4. Identifying opportunities

5. Decision making with quantifiable, data-driven evidence.

6. Testing these decisions

7. Identification and refining of target audiences

8. Recruiting the right talent for the organization

If you require any additional information, please contact us and a specialist will get in touch with you.

Request a quote or contact us for more details.