For years, enterprises have been challenged with the interpretation of data. Even with self-service analytics tools and predictive monitoring, employees have found it difficult to use data to make real-time decisions, because they haven’t had the training or knowledge.
However, industry momentum now suggests 2018 will be the year that embedded analytics, coupled with artificial intelligence and machine learning, will begin to replace the standard self-service analytics. The advanced analytics solution will drive down the manpower required for enterprises to manage and analyse the massive amount of data they have.
Read the post to learn more about how embedded analytics augmented with artificial intelligence could help your customers. You can also find out about IBM’s own embedded analytics solution by downloading the free whitepaper here.
The world of business intelligence has changed a lot over the past few years. Legacy systems that require a lot of time and work to generate results are being replaced by leaner software.
Embedded analytics has been one of the more relevant innovations in the BI world. Essentially, embedded data can be dropped into various user interfaces, so enterprises can make data accessible to a broader range of people, besides the usual analysts.
This post gives you a few reasons why embedded analytics solutions carry more value than traditional forms of analytics and are worth adding to your customer offering. Read it now.
New research by KBV Research shows that the embedded analytics market is expected to grow to $59.8 billion (€48.2 billion) by 2023, making it a dominant market for service providers in the years to come.
The analysis by KBV Research positions IBM as a forerunner in the embedded analytics market. You can learn why the vendor’s solution is ahead of the rest in this webinar.
View the research summary to understand more about the expected growth in the market and industries it will impact.
Big data adoption reached new highs in 2017, according to a recent analytics market study by Dresner Advisory Services.
53 per cent of all organisations interviewed suggested they’re now adopting big data, up 17 per cent from 2015. This positions big data a greater strategic importance for businesses than the Internet of Things (IoT), natural language analytics and cognitive business intelligence.
For service providers, like you, this means heightened opportunities in the analytics space; with higher demand for reporting, data visualisation and self-service solutions.
Get all the key takeaways from the big data market study in this post; including the top technologies being used to manage big data and the industries to target, based on those fuelling the fastest adoption.