The data collected by organizations while transacting with customers each day is constantly growing. Traditional analytical methods of interpreting such data are no longer useful as it is time-consuming and needs a lot of resources. The advent of newer and more sophisticated technology plays a vital role in analyzing such data. This has compelled businesses to make use of various advanced methods such as Business Analytics and Data Analytics for interpreting useful information and making informed decisions.
Although Business Analytics and Data Analytics are used interchangeably, there are significant differences in applying each of these analytical techniques. A comprehensive understanding of the terms is required before an organization chooses to apply Business Analytics or Data Analytics for their data.
What is Business Analytics?
Being the subsect of Business Intelligence, Business Analytics is utilized for analyzing how data can be molded to add value to a business process. This analytical technique is focused more on solving existing challenges arising out of business processes. Business analytics makes use of business data using statistical study. Additionally, the data interpreted by applying business analytics assist in making decisions that can drive change within the organization structure.
What is Data Analytics?
Data Analytics is the process of assessing various databases to predict patterns and trends. Businesses that apply data analytics make use of advanced algorithms and data models to derive information. This information is further used to make decisions regarding the factors associated with the external environment of the organization. Moreover, this advanced analytical technique enables analysts to comb through abundant data in just minutes rather than days or weeks.
Let us have a look at a few points that separate the terms from one another.
Business Analytics vs Data Analytics–Key Differences
The goal of applying business analytics is to identify patterns within the organization. Such interpretations can assist in bringing change to the overall performance of the organization. Additionally, business analytics can be used in the planning process of expansion activities to be taken up by the organization. As it can be adapted to the advancements in technology, the term business analytics is quite popular among organizations currently.
The term goal in data analytics is interpreted quite differently. Under data analytics, the goal is defined as the information derived by applying algorithms and data models. This helps in recognizing trends within the data sets, which are further used to make accurate decisions. The major difference here is that organizations derive information by basing it on events that have already occurred.
Under BA, analysts are required to specify data sources prior to the process of performing analytical techniques. The data sources are decided based on the project goals of the organization. Once the process commences, more data sources cannot be added for the purpose of analysis. As a result, it is evident that business analytics works on predetermined data sources.
On the contrary, businesses applying data analytics can scale their data sources as and when required. The algorithms or data models are designed by data analysts thereby, enabling them to add or modify their data sources anytime. However, data sources selected for analysis should match the purpose defined for implementing data analytics on the organization’s data.
In business analytics, analysts can make use of data for making innovations and business-driven decisions. Data is analyzed by a wide range of business analytical techniques for offering business solutions to the right people. With Business Analytics, it is deemed that a single version of the truth is present to stakeholders rather than an integrated approach.
In Data Analytics, the data which is widely available for interpretation is the result of applying various data models and theoretical probabilities. Applying data analytics offers consolidated insights that can be used by stakeholders for making decisions on various matters other than business related problems.
Business Analytics focuses on how the patterns and trends can be correlated with business intelligence for unveiling insights. It applies various statistical methods for deriving such information. Business Analysts need not know the code for performing this advanced analytical procedure on business data.
Data Analytics on the other hand requires analysts to be well-versed with coding before applying the technique. This analytical process involves modern methods like SQL, algorithms, and machine learning to discover unknown correlations between different data sets. The end results are further represented on data dashboards and reports.
To Sum up
Organizations may choose to apply Business Analytics or Data Analytics based on project requirements. The benefits of each of these techniques can be reaped individually by organizations. However, both techniques are not mutually exclusive. BA is required to make better future decisions for an organization, while Data Analytics is applied to make intelligent business decisions. An organization can use either of these techniques in its HR, sales, marketing, and other such departments to derive information.