5 trends in Business Analytics in 2019

Author:- Careers of Tomorrow

As we head into 2019, it is time to look towards the future. We gathered information on the top trends in business analytics intelligence; from transparent AI to actionable analytics.


Prediction 1: The rise of explainable/transparent AI

Humans can easily understand the actions of an explainable or transparent AI.

Artificial Intelligence has the potential to improve our understanding through automated decision-making. Many organizations depend on Machine Learning and Artificial Intelligence to conclude on decisions based on data. We see a rise in indecision or hesitancy about the reliability of model-driven recommendations. Several machine learning applications fail to provide a transparent way to show the algorithms or rationale behind suggestions and decisions. This requisite for transparency will drive the progress of transparent AI in 2019. Since we are able to question other humans, why not with machine learning when deciding?

Businesses will put more pressure on business analysts and data scientists to utilize models that are more rational and uncover how models are built. To have the strongest effect, Artificial Intelligence must be trusted, and the decisions must be clear to answer questions to enable people to comprehend their data.


Prediction 2: Understanding human language

Natural Language Processing (NLP) enables computers to understand human languages. BI sellers will fuse common dialect into their platform to offer a natural language interface. Natural language is advancing to help explanatory discussion characterized as a human discussing with the system about their information. The system understands the user’s query by leveraging the perspective of the conversation and furthers the conversation, making a more regular, conversational experience. So, when a user has a follow-up question, there is no need to dig or clear up any vagueness.

Natural language will be a change in perspective in how individuals ask questions of their information. As natural language continues to advance with BI, it will help change work environments into data-driven operations.


Prediction 3: Putting data into perspective

Those working with data require accessing the data as well as taking action simultaneously. In 2019, we can expect to see more businesses using analytics in activities where it is required. Businesses will benefit how Business Intelligence platform vendors provide mobile and embedded analytics, APIs, dashboard extensions.

Using embedded analytics enables people to navigate from one application or server to another. Dashboard extensions enable access to other systems from dashboards. Using mobile analytics, people have easier access to data directly. These developments are powerful as the requisites of different business teams are met by enabling people with on-demand data in context.


Prediction number 4: Getting smarter about analytics

Merely having access to business intelligence is not the same as adopting business intelligence solutions. Initiatives using business intelligence have a pre-defined start and finish date and usually considered “complete” after being furnished to users. Data officers are re-assessing how Business Intelligence implementation plays a part in a planned change towards advancement, as real value is measured by how your labor force uses the solution to influence business.

As workers have access to BI platform, businesses can begin to assign analytical duties and make new workers better in the field. This will eventually lessen the hard work to maintain and report, which is generally assigned to the IT team. Team workers will begin to be specialists in the subject executing best practices. Definitely, these growths will prompt more members to use and get value from BI software. Your workforce will turn out to be increasingly productive and your business more competitive.


Prediction number 5: Modern BI adoption

While improving your data strategy, consider the storage of data. For some businesses, this implies considering to move data to the cloud. This can add flexibility and scalability. Using cloud, it is easier to integrate and capture data. Moving to the cloud, the possibilities you can do with analytics and BI is enormous as it increases agility. Naturally, modernization will follow. According to the data gravity concept, as data adds up, there is a higher probability that services and applications will be attracted to this data. Since data moves to the cloud, analytics is sure to follow.

This is making pioneers move from conventional to modern Business Intelligence, calculating whether their selected BI platform will support their move to cloud analytics. No many organizations are prepared for this move. However, many are exploring different avenues.

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