Data management has become important today as it is the new oil for companies. Cognitive systems will help in mining and evaluation of this huge surplus of data. As per a recent IDC research, the world will be analyzing 50 to 5.2ZB of data by 2025. However, companies are yet to tap into this potential. In this article at InformationWeek, Bill Kleyman talks about 3 tools that can increase your data management capabilities.
Transforming Data Management
The IDC report further says that cognitive systems will analyze 100 to 1.4ZB of data by 2025. Organizations are storing up massive amount data generated from various sources but are facing the following challenges while harvesting it:
- Data points are lost or siloed
- Loss of connected devices that generated data
- Security issues
- Misconceptions about data type—embedded and productivity
- Improper infrastructure for housing data
The type of tools you need depends on the data you are creating and the structure they are in. You also should look at the GRC requirements to have an effective tool. Here are the 3 tools that can increase your data management capabilities:
Tools for Big Data: Big data engines process a huge amount of data to identify patterns, gain perceptions, and find relations between data types. Data management, data mining, in-memory analysis, etc. are some of the activities required from these engines. These activities improve your business and marketing decision-making abilities. Hadoop, MapR, Google Bigdata, Cloudera, Hortonworks, MongoDB, Azure, etc. are tools that you can use.
Being Selective with Data Warehouses: While database collects current data, data warehousing can gather historical information for simple or complex searches from several sources. This aids analyzing and predicting the online behavior of your customers. Data warehouses need processed and structured data while pulling the necessary data and are more in vogue in businesses. Amazon Redshift, Google BigQuery, and Panoply are good tools to warm up with. Data lake, on the other hand, can also pull semi-structured, unstructured, and raw data. This is a new processing technology which data scientists are currently using.
Leveraging Data Visualization: The reason for data collection is leveraging it to give you clarity and insights to take the next business move. However, the majority of the companies fail because they are unable to convert it into charts and graphs. Microsoft Power BI, Tableau, IBM Watson, SAP Analytics, and Google Analytics, etc. can help you visualize the data.
To view the original article in full, visit the following link: https://www.informationweek.com/big-data/real-world-tools-to-help-navigate-a-data-driven-world/a/d-id/1332377?