The promise of big data is that companies will have far more intelligence at their disposal to make accurate decisions and predictions on how their business is operating. Let’s get some insight into Big Data, what it is, and why we should use it.
Big Data is a Great Band
It’s not what we’re talking about here, but you might as well listen to a great song while you’re reading about Big Data. I’m not including the music video… it’s not really safe for work. PS: I wonder if they chose the name to take catch the wave of popularity big data was building up.
What is Big Data?
Big data is a term used to describe the collection, processing and availability of huge volumes of streaming data in real-time. The three V’s are volume, velocity and variety with credit to Doug Laney). Companies are combining marketing, sales, customer data, transactional data, social conversations and even external data like stock prices, weather and news to identify correlation and causation statistically valid models to help them make more accurate decisions.
Why Is Big Data Different?
In the old days… you know… a few years ago, we would utilize systems to extract, transform and load data (ETL) into giant data warehouses that had business intelligence solutions built over them for reporting. Periodically, all the systems would backup and combine the data into a database where reports could be run and everyone could get insight into what was going on.
The problem was that the database technology simply couldn’t handle multiple, continuous streams of data. It couldn’t handle the volume of data. It couldn’t modify the incoming data in real-time. And reporting tools were lacking that couldn’t handle anything but a relational query on the back-end. Big Data solutions offer cloud hosting, highly indexed and optimized data structures, automatic archival and extraction capabilities, and reporting interfaces have been designed to provide more accurate analyses that enable businesses to make better decisions.
Better business decisions mean that companies can reduce the risk of their decisions, and make better decisions that reduce costs and increase marketing and sales effectiveness.
What Are the Benefits of Big Data?
Informatica walks through the risks and opportunities associated with leveraging big data in corporations.
- Big Data is Timely – 60% of each workday, knowledge workers spend attempting to find and manage data.
- Big Data is Accessible – Half of senior executives report that accessing the right data is difficult.
- Big Data is Holistic – Information is currently kept in silos within the organization. Marketing data, for example, might be found in web analytics, mobile analytics, social analytics, CRMs, A/B Testing tools, email marketing systems, and more… each with focus on its silo.
- Big Data is Trustworthy – 29% of companies measure the monetary cost of poor data quality. Things as simple as monitoring multiple systems for customer contact information updates can save millions of dollars.
- Big Data is Relevant – 43% of companies are dissatisfied with their tools ability to filter out irrelevant data. Something as simple as filtering customers from your web analytics can provide a ton of insight into your acquisition efforts.
- Big Data is Secure – The average data security breach costs $214 per customer. The secure infrastructures being built by big data hosting and technology partners can save the average company 1.6% of annual revenues.
- Big Data is Authoritive – 80% of organizations struggle with multiple versions of the truth depending on the source of their data. By combining multiple, vetted sources, more companies can produce highly accurate intelligence sources.
- Big Data is Actionable – Outdated or bad data results in 46% of companies making bad decisions that can cost billions.
Big Data and Analytics Trends 2017
2017 is going to be a unique and very exciting year for the business of technology in many ways. Businesses will strive to balance scale and attention to individual customers without compromising on the operational rigor. Ketan Pandit, Aureus Insights
Here’s where you’ll see big data put to use:
- 94% of marketing professionals said personalization of customer experience is extremely important Tweet This!
- $30 million in annual savings by leveraging social media data in claims and fraud analytics Tweet This!
- By 2020, 66% of banks will have blockchain in commercial production and at scale Tweet This!
- Organizations will rely on smart data more as compared to big data.
- Machine-to-Human (M2H) enterprise interactions will be humanized by up to 85% by 2020 Tweet This!
- Businesses are investing 300% more in Artificial Intelligence (AI) in 2017 than they did in 2016 Tweet This!
- 25% growth rate in the emergence of speech as a relevant source of unstructured data Tweet This!
- Right to be Forgotten (R2BF) will be in-focus globally regardless of data source Tweet This!
- The 43% of customer service teams that don’t have real-time analytics will continue to shrink Tweet This!
- By 2020, the Augmented Reality (AR) market will reach $90 billion compared to Virtual Reality’s $30 billion Tweet This!
With millions of sellers and billions of products to compete with on marketplaces, it’s easy to get buried in data every day -- and still feel behind. And this is now true across almost all product verticals, as more and more niche categories become intense competitive battlegrounds.