Analytics and Data Transformation


Tech-centric, innovative solutions

Analytics and data transformation initiatives can help your business increase revenue and improve operational efficiency. Other benefits include the ability to optimise marketing campaigns and bolster customer service efforts. Analytics can also quicken response times to emerging market trends. In recent years, data analytic solutions are increasingly being used to gain a unique edge over competitors.

In our fast-paced, tech-centric world modern organisations require decision making and innovation at every level. From your CEO to business analysts, to field-based staff, suppliers and partners, everyone needs access to information and data regardless of whether they’re within or outside your organisation. Data makes the modern business tick. Analytics and data transformation services can provide those at the top of your organisation with the actionable information they need such as key performance indicators, business operations, customer insight. In the past, data queries and reports typically were created for end users by business intelligence developers who worked in IT. However, in recent years, more organisations are using self-service business analytic tools that allow executives, business analysts and operational workers to run their own ad hoc queries and build the reports themselves.

Analytics and Data Transformation

Frequently Asked Questions

What can we uncover from data analytics?

Data analytics can give us a deeper understanding of your clients. The team at DSCallards can uncover powerful insights that allow businesses to better meet the demands of their customers through more individualised services. Your data can also provide details about your clients’ preferences for communication, as well as information about their hobbies, worries, lifestyles and more.

What are data transformation tools?

Data transformation is the process of transforming raw data into a format that is easier to use and interpret for the purpose of data mining as well as recovering strategic information. In order to change the data into the right form, data transformation techniques include data cleansing and data reduction.

As the name suggests, data transformation tools are the assets a business can use to make that happen. Data transformation tools assist in changing data formats and applying business logic to raw data. This is particularly important when combining structured and unstructured data from many sources for analysis.

What's an example of a Key Performance Indicator?

As the name suggests, a key performance indicator is utilised to evaluate the success and performance of a business or employee. Known/Referred to in short form as a KPI, key performance indicators are quantifiable meaning KPIs can be measured using quantifiable data and information.

In the data analytics sector, KPIs are often used to measure the success of a business. Key performance indicators include revenue growth, profit margins, client success and retention rates.

What is a self-service business analytic tool?

As the name suggests, a self-service business analytics tool allows members within an organisation such as executives, business analysts and office employees to access data and information themselves and build data reports, rather than relying on an external or internal business intelligence developer. This increased level of accessibility means large and small businesses alike can unearth, analyse and build data-driven strategies with ease and efficiency.

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