We are bringing you news and highlights from the Gartner Data & Analytics Summit, taking place this week in Mumbai, India. Below is a collection of the key announcements and insights coming out of the conference. You can read the highlights from Day 1 here.
On Day 2 from the conference, we are highlighting how to drive business value of data & analytics, ways to attract and retain D&A talent, and how to scale. Be sure to check this page throughout the day for updates.
Presented by Alan D. Duncan, Distinguished VP Analyst, Gartner
While aligning data and analytics with measurable business outcomes seems like a straightforward task, data and analytics leaders often struggle with articulating, tracking and capturing business value. In this session, Alan D. Duncan, Distinguished VP Analyst at Gartner highlighted how to build value stories, how to rank and prioritize initiatives and how to quantify value.
“Emulate your high-achieving peers - re-examine your data & analytics strategy and operating model, and focus on the factors that influence success.”
“Assess the skills, competencies and behaviors of the workforce, and collaborate with HR on developing a proactive talent management plan for data & analytics.”
“Go beyond measures that only describe the outputs you will deliver. Think in terms of revenue growth, or cost and risk reduction.”
“Express the value in terms of the benefits to their business or their lives, not yours.”
“Experiment with opportunities for both direct and indirect data monetization, especially to identify and adapt ideas from other organizations in other industries.”
“Commit to specific business outcomes by working closely with business peers to identify their mission-critical priorities.”
Presented by Jorgen Heizenberg, VP Analyst, Gartner
Talent crunch due to employee attrition is one of the top concerns of data and analytics leaders. In this session, Jorgen Heizenberg, VP Analyst at Gartner discussed how D&A leaders can attract and retain the right talent for their teams.
“Talent is in short supply. Only by adding two skills, 98% of the global talent is eliminated from the resource pool.”
“There is no quick fix to the talent crunch issue, it requires long term and multiple efforts.”
“Entice D&A talent from outside the organization by applying nonconventional approaches, such as hiring atypical employees or investing in citizen roles.”
“Create an attractive corporate culture that prioritizes the human factor by focusing on work-life balance, skills development and even emotional well-being.”
“Retain data and analytics talent by creating more balance in the D&A team via diversity of people, roles and development paths.”
“Move from a predominantly labor-based approach for simple and repetitive tasks to a more automated one.”
“Work with the HR team to create and implement a long term D&A talent strategy.”
Presented by Rita Sallam, Distinguished VP Analyst, Gartner
Automated insights, data stories and natural language generation are driving adoption of augmented analytics. In this session, Rita Sallam, Distinguished VP Analyst at Gartner, discussed the capabilities that enable organizations to augment and automate their analytics workflow and explained the path to scale analytics through automation.
“The world is becoming consumerized and highly contextualized, so must analytics and business intelligence (BI).”
“A Gartner survey found that 44% of respondents said that automated insights is the capability they require when selecting a new analytics and BI platform.”
“Gartner estimates that by 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.”
“Automation adoption in analytics and BI is growing, with 36% of survey respondents currently using automated augmented analytics for information workers. Another 40% plan to do so in the next 12 months.”
“Scaling analytics adoption through automation consists of six steps: Align to business value, then pilot and validate; update roles and invest in data literacy; scale analytics across the enterprise; mitigate expert resistance; invest in explainability of insights and models; assess vendors.”
“Start with small data to demonstrate value and build trust. Invest in ongoing data literacy and user enablement, as this will be a significant factor for success.”
Gartner, Inc. (NYSE: IT) delivers actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities. To learn more, visit gartner.com.
Manasi Sakpal
Gartner
manasi.sakpal@gartner.com
