Today, every business needs a robust big data strategy to attain enhanced productivity, informed decisions & desirable growth. The amount of data is growing rapidly each day, projected to double every two years until 2020. This vast data is completely wasted if the organizations are unable to retrieve valuable insights from them. Research by Bain & Company states that only 4% of the companies are successfully using analytics, which involves the right composition of data with the latest technologies, tools, and people.
To attain high business growth using analytics, one must transform their data into game-changing & re-usable data assets. Here’s a glimpse of all the top approaches suggested by top Big Data Companies California to fuel analytics initiatives. - Go Agile Earlier, analytics involves a huge IT teams working on ETL & static data warehouses only to generate complex reporting. With new tools like Hadoop that support schema-less architecture, business teams can work on raw data & extract value for real-time processing. It not only reduces inefficiency in data analytics processes but also lowers the processing iterations between IT & business teams. - Power of BI Tools Making use of Big Data with BI will enable digital transformation to drive new value/actions from the wide range of data and use it to know customers better. To unlock the ways that deals with omnichannel customer engagement and better retention rate, organizations should use data lake as BI accelerator to put data into data lake for free-form data exploration helping in answering unknown questions. - Use Data Curation Analytics is mainly used to transform data into insights but the ability to speed up the process will give the organizations faster access to actionable data. It is possible using the data curation method wherein data engineers, analysts & business owners work together within a single toolset to synchronize the curation process & execute on data using BI Tools. This collaboration needs a tool that can process billions of records to drill down the most important information hidden. - AI Integration AI machines have the capability to learn new behavior to extract relevant patterns from sample data sets. However, with the collaboration of AI with Big Data, one won’t rely on samples as big data allow usage of actual business data, available all the time. It offers benefits like quicker times to deep learning insights, better ability to deploy models on data lake and reduced maintenance issues. It is always a great decision to have a smart big data strategy! Your business data can be significant productivity driver if analyzed properly using the above-stated approaches. Businesses that use big data initiatives are more successful in saving costs and gaining market share with accurate predictions from data rather than guessing. If you want to gain a competitive advantage using data, choose the forward-thinking Big Data Analytics Solutions California & make informed-decisions faster than market peers.
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