In 10 Enterprise Analytics Trends to Watch in 2019, Constellation Research VP and Principal Analyst Doug Henschen notes that it’s lonely at the top when it comes to data and analytics maturity: 5% of organizations are leaders; 15% are fast followers; 40–50% are cautious adopters, and 20–30% are laggards.
But how do you know where your organization stands in this maturity breakout? Henschen notes that if your organization is a member of the top 20% comprising leaders and fast followers, it has probably already:
- Embraced and mastered next-generation big data platforms and NoSQL databases
- Learned how to take advantage of the agility of cloud-based services and data platforms
- Mastered machine learning techniques and has experimented with deep learning, natural language processing, and other technologies associated with artificial intelligence
In short, data maturity is such that having data at scale and even having solid data management across on-premises and cloud-based sources is no longer differentiating for the leading five percent of organizations or the fast-following 15% of organizations. —Doug Henschen, Constellation Research
In 2019, the Constellation Research VP says that to continue their pace and momentum, leaders will need to excel in three more areas. Check out this year’s goals checklist and Henschen’s notes on each:
- Bring advanced analytics, including ML and DL, into production at scale. “On using data broadly, true leaders are bringing predictive capabilities and even prescriptive recommended actions into production at scale,” says Henschen. “As detailed in my report, AI Imperative: Advance from Experimentation to Deployment at Scale, what’s needed to do this effectively is a team-based approach that knits together data scientists, data analysts, data engineers, developers, and business leaders in order to embed models, including advanced machine-learning and deep-learning models, into business applications at scale with ongoing monitoring and optimization.”
- Meet low-latency requirements by embracing stream processing and streaming analytics. “Customer and employee expectations have shifted such that they now expect low-latency if not real-time performance. Leading organizations have embraced next-generation software and services that support not just real-time data pipelines, but also real-time analytics that can trigger next-best actions and recommendations within seconds if not milliseconds,” notes Henschen.
- Get creative with embedded analytics. “Delivering insight through static reports and separate, purely analytical interfaces can take users away from their real work. Instead of answering questions in context and taking action, users can get distracted and fall prey to paralysis by analysis,” warns the Constellation Research principal analyst.
“Leading organizations are catching on to the benefits of embedding analytics directly with the transactional applications that people use every day. Instead of sending people off to a report or dashboard, the idea is to deliver concise charts, visualizations, metrics, or key performance indicators in the context of key decision points within applications.
“The emphasis is on decision support, so in some cases the analytics only show up as alerts when conditions fall out of desired thresholds. And with the trend toward real-time action, embedded analytics will increasingly be used to trigger actions behind the scenes. There may be no time for human intervention or analysis, so we need smart, embedded systems designed to take the right actions at the right time.”
Looking for more advice on becoming a data and analytics leader in 2019? See what today’s top thought leaders say requires your organization’s attention now. Download the eBook, 10 Enterprise Analytics Trends to Watch in 2019, to read insights from today’s top thought leaders, including Constellation Research’s Doug Henschen and founder Ray Wang, Forrester analyst Mike Gualtieri, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon, and more.