Big data is big business. In fact, the big data market is forecasted to reach $103 billion by 2023. Organizations are collecting and storing vast quantities of data like never before – but are they making the most of the data they are collecting? When analyzed properly, your data can provide valuable insights that help your business succeed and give you a competitive edge. Those insights can help you better understand the market, your consumers’ needs, and current trends, so you can make better decisions. They can also help organizations adapt to a rapidly evolving marketplace and predict the future.
Unfortunately, not every company knows what do with the data they have. According to Forbes, 95% of businesses have mass quantities of unstructured data, making it difficult to manage and analyze. That means a lot of data is collected, stored, but ultimately goes unused. It’s time to put all that data to work for you. Here are some of the top analytics tools that can help your business harness the power of big data.
Microsoft Azure HDInsight – HDInsight empowers you to manage your big data by using open-source frameworks such as Hadoop, Apache Spark, Apache Hive, LLAP, Apache Kafka, Apache Storm, R, and more, in your familiar Azure environment. This full-spectrum, cloud-native analytics service lets you process and analyze massive amounts of data at scale - on an “only pay for what you use” basis - and offers high availability, increased security and compliance, and tools that help your developers be more productive.
SAP Analytics Cloud – The SAP Analytics Cloud, the analytics layer of SAP's Business Technology Platform, combines business intelligence, predictive analytics, and planning capabilities into one, enterprise-wide cloud environment. The SAP Analytics Cloud easily connects with SAP HANA, as well as other SAP solutions. Get stunning visualizations of your insights, and uncover the intelligence needed to make business decisions and take action.
Apache Hadoop – This open-source, scalable storage platform allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hadoop is a cost- effective, scalable solution that can handle large volumes of data without format requirements, which is why it is one of the most popular analytics tools for big data.
MongoDB for Analytics – MongoDB offers a distributed architecture and provides a robust set of tools for every type of user. Able to accommodate any new source of data and deliver high performance, even under massive data loads, MongoDB provides powerful reporting, real-time insights, driven by AI and machine learning applications.
If you’re interested in making the most of your big data, Dobler Data Solutions can help you find, integrate and leverage the analytics tool that best meets your needs. Contact us today and let us help you gain the actionable, strategic insights you need to succeed today and in the future.