Big Data Technologies
Big Data Technologies Are Today’ s Answer To Business Intelligence
By Chris Githaiga
The days when chief executives would huddle in a boardroom and pore through bundles of pages of sales reports and market analysis to craft the story of their business is long gone. Big data technologies are the new order, transforming business intelligence, leading to smarter decisions and improved strategies. robust business intelligence solutions can help you mitigate possible issues.
Date trends have continued to evolve tremendously in the last three decades. From the relational databases of the 90s through the explosion of solutions to manage big data over the past decade. conditions, financial data- or thousands of other types of data.
Big data is unique, in that it tends to be large in volume( often in terabytes and petabytes in size) and flow into the business at a high speed, and it is, in most cases, unstructured.
Businesses are moving at lightning speed to stay competitive. Obtaining an edge over competitors requires leveraging data to make critical decisions. Businesses have huge amounts of data that they can use to their advantage.
Business intelligence tools make it possible to combine, clean, prepare, analyze and convert data into digestible information. It is then disseminated to relevant stakeholders to view the big picture. Decisions come with risk, but
Businesses are now generating unprecedented amounts of digital information, defeating the old ways of processing data. Spreadsheets and simple databases that once seemed cutting-edge can no longer handle the unprecedented volume of information flowing through businesses’ digital systems.
Big data could be information such as customer transactions, consumer behavior, health records, internet searches, inventories, road mapping, weather
The most valuable data of all is real human data, which tells us about who we are, how we live our lives, and what we need to make us safe, comfortable, healthy, and happy. We buy because we are humans. We have needs, insecurities, and care what others think of us. We make choices driven by emotions and are not always rational. AI applications in market research that fail to capture the true essence of being human will not perform well.
Unstructured data tends not to fit into the traditional relational( table / column) based structure which data has commonly been stored in the past. Instead, it can include all kinds of documents, emails, images, video and many other unrelated data formats, all of which can vary in size and format from record to record.
In recent years, software tools to manage and make sense of these disparate data sources have emerged.
By combining strategic goals with sophisticated software tools, companies can mine this data for usable insights that can transform their businesses.
Big data has come with various technologies that businesses can maximize on to get valuable insights into consumer behavior, market dynamics, and operational deficiency, predict required production volumes and so much more.
Among the popular technologies is big data store which is a storage system designed to effectively store, retrieve, and analyze huge amounts of data not stored in the traditional relational databases.
Big data analytics technology on the other hand is the systematic processing and analysis of data to extract valuable insights. It makes it easy to reveal trends, patterns and correlations in large amounts
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