Did you know that 9 out of 10 companies are only able to analyze less than half of the data they collect? In fact, 45% of these companies analyze less than one quarter of this data . Why is that? The answer is simple. We are generating more data than ever, 44 zettabytes by the year 2020 to be precise. What does this mean for you? A great data lake filled with extremely valuable potential to make better decisions for your company. Remember what Sherlock Holmes once said: “I can’t build bricks without clay!” We need data to answer complex questions.
President’s day is the perfect opportunity to explore, honor and remember the legacy of Washington, Lincoln and other presidents. It is also a great day for all those who are looking for a good sale at their favorite retail or online store. What does this mean? Hundreds of millions of sales transactions will generate enormous amount of financial and inventory data will be generated on this one day.
Data, Data, Data! All the facts, numbers, and everything in between that, when collected, can be analyzed and decisions made based upon them. Can’t live with it! Can’t live without it! This year over $14 billion will be spent globally on flowers, chocolate, and jewelry on Valentine’s Day alone. According to CIO Research, big data analytics investments are expected to be close to $187 billion. We are definitely investing more on data than expensive chocolates! The big question is, are your data investments nurturing your relationship with data the same way a bouquet of flowers and a box of chocolates can nurture your relationships?
The AtScale Enterprise Data Visionary Award program recognizes the leading enterprises that have reached exceptional productivity levels by modernizing their Big Data Analytics environment. Customers were evaluated based on ingenuity, innovation, business value and impact of their AtScale implementation.
We want to congratulate the 2018 AtScale Visionary Award Winners! Read on to learn more about how these industry leaders used AtScale to become trend-setters in the Big Data world.