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MIND THE GAP: THE 25% MAIL PRODUCTION AUTOMATION OPPORTUNITY

Data accuracy, Data Hygiene, Data Processing, Industry, The Software Bureau

MIND THE GAP: THE 25% MAIL PRODUCTION AUTOMATION OPPORTUNITY

By Martin|2022-12-22T06:15:41+00:00December 22nd, 2022|

New research amongst mailing houses carried out by The Software Bureau reveals a 25 percent automation gap. The survey shows that currently two thirds of mailing houses have automated 50 percent of their processes, however the optimum level of automation is considered to be 75 percent, revealing a 25 percent gap. Only one mailing house in the survey has automated all of its workflow processes. Data automation was found to be highest on the wish list for mailing houses, including postal sortation and cleansing processes, whilst automation of ‘run of the mill’ day-to-day processes was the next highest priority. AI-enabled solutions were revealed to be the area with the most potential, with 70 percent of businesses currently not using AI. [...]

Data hygiene is all academic, isn’t it?

By Martin|2022-11-14T11:09:16+00:00November 8th, 2022|

How alumni teams at higher education institutions can enhance relationships with past students and increase lifetime value Digital transformation scores a B+ According to a study by McKinsey, almost 80 percent of organisations reported that during the pandemic they initiated a process of digital and data transformation. Undeniably, COVID 19 fast tracked many organisations’ transformation intentions. For instance, the higher education sector - not one famed for its agility - had been toying with the concept of Responsive Blended Learning, a hybrid of traditional classroom based delivery and online learning for years, but it took lockdown for this to actually become a reality. Most institutions went from face-to-face teaching to digital delivery in a matter of days. And with exam [...]

Analytics are only as strong as the underlying data

By Martin|2022-09-16T13:16:01+00:00September 16th, 2022|

Why data hygiene must become a priority post covid According to Fortune Business Insights, the global machine learning and analytics market is expected to grow from $21.17 billion in 2022 to $209.91 billion by 2029, at a CAGR of 38.8 percent. Clearly it is big business, and the global impact of the Covid-19 pandemic has served to accelerate demand. Increasingly organisations from all sectors are turning to computers to make decisions from insurers calculating a customer’s risk profile through to airlines looking to work out how much food and drink to carry onboard. Every industry without exception can apply analytics to its data to make faster, more informed decisions. But, and it is a big BUT, analytics and machine learning [...]