Intrinsically linked with business intelligence services (BI) and big data solutions, business analytics is a set of automated processes, practices and tools engineered to assist organisations in understanding the inner workings of their day-to-day operations, what they can improve and why.
Since 2001, DSCallards has been assisting organisations in implementing the right business analytic services for their business needs. Business analytics services can help you build data-driven strategies for the future as well as directly inform the decision-making process in marketing campaigns and more.
Business analytics is about more than statistics. It is the process of unearthing and tracking emerging patterns in the market to draw conclusions on future trends. Business analytics also gives you the opportunity to maximise data accessibility throughout your organisation and give your staff the insights they need to boost productivity and nurture business growth.
For more information about business analytic services at DSCallards, please get in touch today.
If you’re collecting data without a proper platform in place, it can be impossible to efficiently and accurately process the information to a high standard as well as spot business drivers and emerging market patterns and trends. Analytic services can help your organisation make sense of your data and assist in building confident, data-driven business strategies with maximum efficiency.
Business analytic solutions can assist in saving you time and labour costs by combining all your data sources from across your organisation into a single, accessible platform. Ideal for streamlining your day-to-day operations, business analytic services can dramatically improve the productivity and efficiency levels of your organisation as well as nurture growth and boost your return on investment (ROI).
Business analytics gives your organisation the opportunity to forecast emerging trends and patterns and optimise future outcomes. Predicative analytics allows the testing of different scenarios as well as the extraction and analysis of important data that can shape future strategies and help your organisation make more informed decisions. In addition, business analytic solutions also allow your organisation to see the impact of your decisions as well as the agility to alter plans and respond to the unexpected.
In this day and age, businesses and organisations alike are collecting data from a vast array of different channels, including e-commerce websites and social media engagement. By using business analytics to create a comprehensive analysis of your target audiences, your organisation will have the opportunity to gain a deeper insight into customer behaviour and create a more bespoke end-user experience.
Since 2001, DSCallards have been helping businesses implement the very best business analytic solutions in their day-to-day operations.
For more information about business analytics at DSCallards, get in touch today.
Business analytic tools can give your organisation the insights you need to maximise productivity, foster business growth, resolve any problems in your workday and collect your data in a single accessible place as well as forecast future patterns and trends – all with the click of a button.
SAP Business Analytics combines business intelligence tools, predictive analytics and forward-thinking planning data capabilities to provide in-depth reporting tools with data analysis and interactive visualisation software. Businesses can also utilise machine-generated insights with augmented analytic capabilities.
Yellowfin is an innovative end-to-end business analytics platform that combines visualisation, machine learning, storytelling and collaboration into one accessible program. Yellowfin allows organisations to easily filter through their data with intuitive filtering as well as create bespoke dashboards for data visualisation.
Microsoft Power BI is a cloud-centric business analytics platform that allows organisations to identify emerging market trends and patterns in real time through innovative cloud-based apps. The software also allows organisations to visualise their data using a scalable, self-service platform that can unearth important data insights.
Business analytics is an all-encompassing term used to describe a set of processes within the data analytics and transformation sector. From processing historical data to forecasting future trends and patterns, business analytics allows large and small businesses alike to make informed, data-driven decisions based on powerful insights and predictive analysis.
When it comes to implementing data analytics online, there are many benefits for large and small businesses alike. Improved accessibility to online tools means many organisations can now implement data analytic solutions on their websites. As a result, businesses can easily collect customer data from a variety of different channels, including their e-commerce store and social media profiles. By using data analytics to create comprehensive customer profiles from this data, businesses can gain powerful insights into customer behaviour and provide a more bespoke end-user experience for their clients.
Data analytics allows businesses and organisations to make more informed, data-driven decisions that mitigate risk and provide invaluable insights into crucial business areas such as customer behaviours and emerging market patterns. As a result, data analytics and transformation can benefit your business through a more personalised, data-driven customer experience and the ability to streamline day-to-day operations with a more informed approach to business decisions.
Although the terms are often used interchangeably, business analytics and data science are actually two different fields. The goal of business analytics is to extract meaningful insights from data for the purpose of guiding organisational decisions. In contrast, data science is focused more on transforming raw data into meaningful insights and conclusions using algorithms and statistical models. Despite the difference between the two, both business analytics and data science are intrinsically linked through each field’s relationship with business data and information.