Organizations deploy systems and technologies that generate large volumes of both structured and unstructured data. They need to analyze the data to enhance decision making.
Meanwhile, many companies still rely on traditional relational databases to capture, manage, and process data with low latency. These solutions lack useful data analytics capabilities to analyze large volumes and various data types at unprecedented speed.
Some data analytics approaches fail to synchronize data across disparate sources. Besides, there is an acute shortage of professionals who understand big data analytics.
Enterprises analyze big data for insights that improve decision-making and enhance strategic business moves. Data analytics with Amazon ElasticSearch aims to analyze logs and metrics to give insights into your IT environment performance. The solution also enables interactive investigation and automated threat detection.
The amount of data business enterprises produce is growing at 40 to 60 percent per year. Merely storing this voluminous amount of data is not productive for an organization.
Some companies fail to deploy solutions to analyze this data. Others implement ineffective tools to handle big data.
Businesses using data analytics with Amazon ElasticSearch can search across everything to find specific insights. The solution helps companies create new growth opportunities by generating insights about the products and services and consumer preferences.
Implementing the solution enables businesses to utilize intelligence while making decisions. Organizations can improve operational efficiency and detect risks early using the near-real-time data analytics with Amazon ElasticSearch.
.webp){kind=icon}
