Decision Management Platforms Statistics 2024 – Everything You Need to Know

by

Are you looking to add Decision Management Platforms to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Decision Management Platforms statistics of 2024.

My team and I scanned the entire web and collected all the most useful Decision Management Platforms stats on this page. You don’t need to check any other resource on the web for any Decision Management Platforms statistics. All are here only 🙂

How much of an impact will Decision Management Platforms have on your day-to-day? or the day-to-day of your business? Should you invest in Decision Management Platforms? We will answer all your Decision Management Platforms related questions here.

Please read the page carefully and don’t miss any word. 🙂

Best Decision Management Platforms Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 286 Decision Management Platforms Statistics on this page 🙂

Decision Management Platforms Benefits Statistics

  • Nearly 9 in 10 IT leaders (88%). [0]

Decision Management Platforms Usage Statistics

  • Productiv data reveals that 56% of enterprise apps aren’t managed. [0]

Decision Management Platforms Market Statistics

  • Despite gloom and doom, Facebook remainsthe most used platform by marketersworldwide (93%). [1]
  • Based on projections,over 50% of marketersgot on board with LinkedIn in 2021 16.2% of LinkedIn usersuse. [1]
  • “#DigitalMarketing” (47%) is the most popular marketing hashtag among #ContentMarketing Tweets, followed by “#SEO” (40%) and “#marketing” (37%). [1]
  • In Q1 2021, marketersspent 60% moreon Facebook and Instagram ads versus Q1 2020. [1]
  • Retargeting ads are the most used among marketers, with77% of B2B and B2C. [1]
  • The share of US marketers using LinkedIn increases slowly each year, blipping over the 50% level in 2021. [2]
  • 82% consider LinkedIn to be the most effective channel for achieving content marketing objectives. [2]
  • According to the Content Marketing Institute, 97% of B2B marketers use LinkedIn as part of their content marketing efforts. [2]
  • For 94% of B2B marketers, LinkedIn is the first channel they use when they want to distribute content to various social media sites. [2]
  • Wyzowl found that 63% of video marketers planned to include LinkedIn in their 2021 video marketing strategy. [2]
  • Business process management was a $3.38 billion market in 2019, and Mordor Intelligence projects a CAGR of 6.26%, with sales reaching $4.78 by 2025. [3]
  • The RPA market, valued at $1.4 billion in 2019, is forecast to grow at a CAGR of 40.6% between 2020 and 2027, according to Grand View Research. [3]
  • In 2019, DPA was a $7.8 billion market; it’s forecast by Mordor Research to grow at a CAGR of 13%, reaching $16.12 billion by 2025. [3]
  • Key statThe supply chain management market is expected to grow from $15.85 billion in 2019 to $37.41 billion by 2027, a CAGR of 11.2%.—Allied Market Research. [3]
  • No wonder the global market for accounting software is forecast to grow at a CAGR of 8.02% from 2018 to 2026, increasing from $11 billion to $20.4 billion. [3]
  • The productivity software market, which includes office and collaboration applications, was forecast to reach nearly $62 billion in 2020, with revenue predicted to increase at a CAGR of 6.8%, reaching $85 billion by 2025, says Statista. [3]
  • In late 2019, a report forecast that the supply chain AI market was poised to grow at a CAGR of 39.4% through 2027. [3]
  • But months after the COVID19 pandemic struck, Meticulous Research raised that forecast to an even more eye opening 45.3%, with the market reaching $21.8 billion in less than seven years. [3]
  • The analyst firm, which is forecasting that the worldwide RPA market will grow 19.5% from 2019 to 2020, to nearly $2 billion, also predicts that 90% of large organizations throughout the world will have adopted RPA in some form by 2024. [3]
  • Key statAt an expected CAGR of 19%, the market marketing automation software market is forecast to reach $16.87 billion by 2025.—Mordor Intelligence. [3]
  • The worldwide ERP software market per year is more than $25Billion, which grows 10. [4]
  • The global ERP software market is projected to reach $78.40 billion by 2026, growing at a CAGR of 10.2% from 2019 to 2026. [4]
  • 40% of market leaders are looking for new technologies in an ERP system. [4]

Decision Management Platforms Software Statistics

  • No wonder the global market for accounting software is forecast to grow at a CAGR of 8.02% from 2018 to 2026, increasing from $11 billion to $20.4 billion. [3]
  • The productivity software market, which includes office and collaboration applications, was forecast to reach nearly $62 billion in 2020, with revenue predicted to increase at a CAGR of 6.8%, reaching $85 billion by 2025, says Statista. [3]
  • Prices for RPA software will decrease 10% to 15% by the end of 2020 and 5% to 10% in 2021 and 2024. [3]
  • Key statAt an expected CAGR of 19%, the market marketing automation software market is forecast to reach $16.87 billion by 2025.—Mordor Intelligence. [3]
  • The worldwide ERP software market per year is more than $25Billion, which grows 10. [4]
  • The global ERP software market is projected to reach $78.40 billion by 2026, growing at a CAGR of 10.2% from 2019 to 2026. [4]
  • 62.7% of organizations go with cloudbased ERP systems over on. [4]
  • The biggest influencers in purchasing ERP software were employees from finance and accounting (23%) and IT department employees (23%). [4]
  • Almost 77% of organizations select on premise softwares due to a lack of knowledge about cloud offerings. [4]
  • 58% of developers have already integrated or are planning to integrate AI into their ERP software. [4]
  • In the UK, 53% of CIOs intend to extend their ERP applications with innovative, intelligent technologies ERP software solutions are the key to handle all your business processes and help your team members land on the same page. [4]

Decision Management Platforms Adoption Statistics

  • Still, use of true AI in BPA is relatively low, though it has accelerated considerably in recent years, with enterprise AI adoption up 25%, according to McKinsey’s 2019 Global AI survey. [3]

Decision Management Platforms Latest Statistics

  • Due to regulatory requirements EDC systems for interventional trials must undergo a validation process according to regulations for electronic data capture in clinical trials [12] like Good Clinical Practice. [5]
  • In the employment context, for instance, a company might assess whether its automated screening or hiring algorithm complies with the 80% rule of thumb commonly used in this context. [6]
  • For example, if the algorithm selects 10% of white applicants to be hired, this rule of thumb holds that no fewer than 8% of African American applicants can be selected. [6]
  • Using the algorithm, Black patients accounted for only 17.7% of patients recommended for extra care, but using an unbiased algorithm, 46.5% of patients assigned extra care would have been Black.[9]. [6]
  • The reason for n1 is that when you divide by n 1, the sample’s variance provides an estimated variance much closer to the population variance, than when you divide by n. [7]
  • About 68 percent of the values will differ from the mean by less than the standard deviation, and almost 100 percent will differ by less than three times the standard deviation. [7]
  • For sampling fraction less than 10% the finite population correction factor /is almost 1. [7]
  • The total T is estimated by N , its variance is N Vartype variables, variation in estimated proportion p is. [7]
  • Suppose sales of a certain item increase to 110% in the first year and to 150% of that in the second year. [7]
  • Then the number sold in the first year is 110 and the number sold in the second is 150% x 110 = 165. [7]
  • The arithmetic average of 110% and 150% is 130% so that we would incorrectly estimate that the number sold in the first year is 130 and the number in the second year is 169. [7]
  • The geometric mean of 110% and 150% is G =. [7]
  • This variation is the largest if we set p = 50%. [7]
  • The first Quartile is that value where 25% of the values are smaller and 75% are larger. [7]
  • The second Quartile is that value where 50% of the values are smaller and 50% are larger. [7]
  • The third Quartile is that value where 75% of the values are smaller and 25% are larger. [7]
  • Percentiles have a similar concept and therefore, are related; e.g., the 25 th percentile corresponds to the first quartile Q1, etc. [7]
  • The advantage of percentiles is that they may be subdivided into 100 parts. [7]
  • The interquartile range describes the extent for which the middle 50% of the observations scattered or dispersed. [7]
  • For large data sets , approximately 68% of the data are contained within one standard deviation of the mean, 95% contained within two standard deviations. [7]
  • 97.7% (or almost 100% ). [7]
  • In estimation of a parameter, when its CV is less than 10%, the estimate is assumed acceptable. [7]
  • The conventional calculation is that given a PERT Beta with highest value as b, lowest as a, and most likely as m, the equivalent normal distribution has a mean and mode of /6 and a standard deviation of /6. [7]
  • If the event rate for a disease is 0.1 , its nonevent rate is 0.9 and therefore its odds are 91. [7]
  • A surveys show that 70% of all convenience store shoppers buy milk and 55% buy bread. [7]
  • If 45% buy both bread and milk, what percentage buy neither?. [7]
  • 20% It is up to you to decide which approach is “nicer” and more transparent. [7]
  • In any normal distribution is observations are distributed symmetrically around the mean, 68% of all values under the curve lie within one standard deviation of the mean and 95% lie within two standard deviations. [7]
  • – 200 = 98% Normal Density Function X N, read, the random variable X is distributed Normally with mean, and variance 0, and 1, respectively. [7]
  • Given the same sampling information, construct a 90% confidence interval for m given the same information. [7]
  • Question for you Construct a 90% confidence interval for the same problem, is it wider than the other one, why or why not?. [7]
  • n 1a Âł 1 a Example Given the same sampling information as above construct a 95% confidence interval for s Plugging in the given information, you should get. [7]
  • Question for you Given the same sampling information, construct a 90% confidence interval for variance ratio s s Binomial Probability Function. [7]
  • The manufacturer’s claim is that at most 5% might be defective. [7]
  • Hence, the estimated mean and variance using the Y data set are 35/9, and [203. [7]
  • However, notice that = 10Y + 22, therefore, the estimated mean and variance for the population are E=. [7]
  • Using the Multinomial for calculation, we notice that the Investment I has mean = 6.75% and standard deviation = 3.9%, while the second investment has mean = 5.36% and standard deviation = 2.06%. [7]
  • I is 57.74% and for Investment II is 38.43%. [7]
  • Thus, it is unlikely to see a score as extreme as 140 because most of the I.Q. scores are clustered around 100 and only deviate 20 points from the mean m Many applications arise from the central limit theorem. [7]
  • Find the 5% one day value at risk for this portfolio. [7]
  • If we denote by z the 95% quantile of a standard normal distribution, then [v ] /. [7]
  • Therefore, the overnight 5% value at risk is $16450. [7]
  • 24% As you see the approximation is slightly overestimated, therefore the error is on the safe side. [7]
  • The average SaaS portfolio now has 254 appsSaaS spend is projected to grow by 19%. [0]
  • annually56% of apps aren’t managed by ITTeams use 40 60 apps on average34% of SaaS purchases. [0]
  • involve lineof business managers99% of IT leaders. [0]
  • say SaaS management impacts daily operations48% of teams say they spend too much time manually managing SaaS appsOnly 45% of app licenses are being used. [0]
  • regularly71% of workers say the number of apps makes work more complex94% of IT leaders believe manual SaaS management methods lead to poor decision. [0]
  • spending97% of IT leaders don’t have complete visibility into how employees use apps88% of IT leaders. [0]
  • Gartner forecaststhat annual SaaS spend will grow by 19%, which means companies will continue to adopt more tools. [0]
  • According to Gartner, 34% of SaaS purchases now involve lineof. [0]
  • We surveyed IT leaders in partnership with Pulse, and 99% said their dayto day operations were impacted by the pain points of managing SaaS applications. [0]
  • The majority of IT leaders (68%). [0]
  • Nearly half (48%). [0]
  • Productiv’s data shows that the average percentage of engaged users across all apps is only 45%. [0]
  • A survey on remote work found that 71% of employees believe the apps available to them have increased complexity. [0]
  • What’s more, 49% of workers would consider leaving their job due to frustrations with the technology available at work. [0]
  • 94% of IT executives believe manual SaaS management methods lead to poor decision making about SaaS spending. [0]
  • According to Productiv research, only 3% of IT executives have complete and real time visibility into their SaaS tools. [0]
  • That means 97% of decision makers don’t know exactly what SaaS apps their employees use, how much those SaaS apps are costing the company, if those apps are compliant, or a host of other facts. [0]
  • 11min read 93% of customers read online reviews before buying a product. [8]
  • 91% of 18 34 year olds trust online reviews as much as personal recommendations, and 93% of consumers say that online reviews influenced their purchase decisions. [8]
  • Nearly all consumers (97%). [8]
  • Positive reviews remain a key way for companies to sell their product, with customers willing to spend 31% more on a business with excellent reviews. [8]
  • 92% of B2B buyers are more likely to purchase after reading a trusted review. [8]
  • Appearing higher in search engine rankings Online customer reviews gain more weighting (6.47%). [8]
  • It’s true that 89% of consumers read businesses’ responses to reviews, so they will be watching how you react. [8]
  • Harvard Business Review found that a bad reputation costs a company at least 10% more per hire. [8]
  • According to Google/Nielson , 93% of people who use mobile to research go on to complete a purchase of a product or service. [8]
  • 49% of consumers depend on influencer reviews and recommendations, so find someone that reflects your brand and can connect with your target audience. [8]
  • SY E/PSYCH 349 , or graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • Enroll Info None STAT/MATH 309 STAT 311 STAT/MATH 431 ), graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • SY E 524 ) and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • None Requisites Senior standing and INTEREGR 397 or concurrent enrollment, graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • SY E 524 ), or graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • Enroll Info None Requisites Sophomore standing Course Designation Level Intermediate L&S Credit Counts as Liberal Arts and Science credit in L&S Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • I SY E 315 , or graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • E/PSYCH 349 INTEREGR 397 or concurrent enrollment or graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • Enroll Info None I SY E/PSYCH 349 , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • PSYCH/I SY E 349 , or graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • (COMP SCI 367 or MATH 234 or graduate/professional standing Course Designation Level Advanced L&S Credit Counts as Liberal Arts and Science credit in L&S Grad 50%. [9]
  • None Requisites Consent of instructor Course Designation Level Intermediate L&S Credit Counts as Liberal Arts and Science credit in L&S Grad 50%. [9]
  • Enroll Info None PSYCH/I SY E 349 B M E 315 , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • STAT/MATH 310 STAT 312 or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • None Requisites None Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • I SY E 315 , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • E/M E 512 , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • I SY E 315 , and I SYE 323 and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • None Requisites Graduate/professional standing Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • Enroll Info None COMP SCI 200 , 301, or 302) and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • Enroll Info None STAT/MATH 309 STAT/MATH 431 ) and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • Counts toward the Natural Sci req Level Intermediate L&S Credit Counts as Liberal Arts and Science credit in L&S Grad 50%. [9]
  • Enroll Info None I SY E 624 STAT/I SY E/MATH/OTM 632 ) and , graduate/professional standing, or member of Engineering Guest Students Course Designation Grad 50%. [9]
  • None Requisites Junior standing or member of Engineering Guest Students Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • 371 Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • Graduate/professional standing Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • Enroll Info Knowledge of statistics strongly encouraged such as STAT 301 Requisites Graduate/professional standing or member of Business Exchange program Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • SY E/MATH 726 Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • POP HLTH/B M I 552 Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • None Requisites Consent of instructor Course Designation Grad 50% Counts toward 50% graduate coursework requirement Repeatable for Credit. [9]
  • According to a survey of more than 1,000 senior executives conducted by PwC, highly datadriven organizations are three times more likely to report significant improvements in decision making compared to those who rely less on data. [10]
  • These efforts boosted median favorability scores for managers from 83 percent to 88 percent. [10]
  • McKinsey estimated that, in 2017, 35 percent of Amazon’s consumer purchases could be tied back to the company’s recommendation system. [10]
  • According to a recent survey of Fortune 1,000 executives conducted by NewVantage Partners for the Harvard Business Review, these initiatives vary in their rates of success. [10]
  • Of the organizations which began projects designed to decrease expenses, more than 49 percent have seen value from their projects. [10]
  • TikTok is the fastest growing social network with a staggering105% user growth ratein the US over the past two years. [1]
  • Instagram sits in second place (78%). [1]
  • Facebook is responsible fora quarter of(25%) versus Google (28.9%), Amazon (10.3%) and others (35.6%). [1]
  • Instagram dominates social streaming services in terms of engagement . [1]
  • Engagement rates on Instagram are approximately more thansix times higherthan those on Facebook (0.83% to 0.13%). [1]
  • Instagram Stories (83%) and grid posts (93%). [1]
  • Uses of the “#ad” tag on Instagramdecreased 17% over the past yearamong influencers. [1]
  • 44% of usersshop for products on Instagram weekly . [1]
  • Linkedin ad revenue recently exceeded$1 billion in 2021, growing by 37% while organic session engagement grew by a record 22%. [1]
  • the platform daily (versus 48.5% that log in monthly). [1]
  • LinkedIn has one of the highestearning and most educated bases on social media —51% college educatedwith half of users earning more than $75,000 annually. [1]
  • earn53% more engagementand twice the CTR of employee. [1]
  • 52% of Twitter usersuse the platform daily (versus 84% that use it weekly). [1]
  • Twitter’s US advertising revenue totaled $647 million in Q3 2021, anincrease of 51% YoY(and up 98% from the previous quarter). [1]
  • Shoppers on Pinterest have85% larger shopping cartsthan buyers on other platforms. [1]
  • According to the platform themselves,7 in 10 Pinnerssay that Pinterest is their go to place to find products or services they can trust. [1]
  • are40% more likelyto say they love shopping. [1]
  • 62% of TikTok userssay that platform specific branded content is the best way to connect to customers. [1]
  • 39% of Gen Z consumerssay that their purchasing decisions are influenced directly by what they see on TikTok. [1]
  • TikTok sawthe largest increasein planned new platform investment for brands in 2024 (84%) versus YouTube (66%) and Instagram (64%). [1]
  • Influencers withless than 5k followerssee the highest engagement rates on TikTok (17.9%) vs macro influencers with up to 1 million followers (13.48%). [1]
  • Social media recently overtook paid search as an advertising channel,growing 25% YoYand exceeding $137 billion. [1]
  • Social media usersoverwhelmingly trust other usersas their “preferred” form of influencer, most likely to buy from them based on a product recommendation (37%) versus celebrities (7%). [1]
  • Privacy and data protection are “extremely impactful” and important to52% of social media users. [1]
  • LinkedIn gets the most traffic, about 31.98%, from the US. [2]
  • The United Kingdom follows at 6.65% and India at 6.42%. [2]
  • The highest LinkedIn audience ad reach by country is American Samoa at 103.1%. [2]
  • Bermuda follows at 102.8% and Iceland at 94.6%. [2]
  • The United States ranks seventh, with a 69.3% reach. [2]
  • The Ad audience distribution is 56.6% male and 43.4% female. [2]
  • 55% of decision makers use this content to determine which organization to work with. [2]
  • Employees are 60% more likely to engage with posts from co workers and 14x more likely to share their organization’s Page content. [2]
  • LinkedIn is the number one platform for Inc. 500 companies, according to research by the University of Massachusetts, Dartmouth. [2]
  • They found that 87% of the Inc 500 companies use LinkedIn to tell their stories, recruit, and network. [2]
  • According to SimilarWeb, LinkedIn received a total of 4.1 billion visits from September to November 2021. [2]
  • LinkedIn gets 71.33% direct traffic and 23.49% from search. [2]
  • They get 99.45% traffic from organic search. [2]
  • LinkedIn gets the most social media traffic from YouTube at 33.33%. [2]
  • Other social sites directing traffic to LinkedIn include Facebook (27.89%). [2]
  • Indeed, only 0.3% of LinkedIn users have that as their only platform. [2]
  • 88.4% of LinkedIn users use Facebook. [2]
  • 78.3% use YouTube, while 82.5% use Instagram. [2]
  • 57% of LinkedIn users access the platform from their mobile devices. [2]
  • 75% of people who change jobs use LinkedIn to inform this decision. [2]
  • If you get an employee through LinkedIn, they are 40% less likely to leave within the first six months. [2]
  • US LinkedIn Usage by Demographic Pew Research found that 28% of adults in the US use LinkedIn. [2]
  • The largest age group using LinkedIn worldwide is adults aged between 25 34 at 59.2%. [2]
  • The 18 to 24 age group follows at 20.3%. [2]
  • A Statista survey of global LinkedIn audiences by gender found that as of 2021, 56.6% of LinkedIn audiences were males while 43.4% were females. [2]
  • Communications agency, We are Flint, sorted the number of LinkedIn users by urbanity and found that 44% of internet users living in urban areas use LinkedIn. [2]
  • Those living in rural areas were at 27%. [2]
  • When sorted by income, the highest number of United States LinkedIn users are those with an income of $100k and more at 60%. [2]
  • Those with a household income of between $80k to $100k follow at 50%. [2]
  • Edison Research found that 72% of fulltime employees in the US use LinkedIn compared to 10% of those employed part. [2]
  • Students were at 5%, while other users were at 13%. [2]
  • Edison also found that 64% of whites in the US use LinkedIn more than 16% of Hispanics. [2]
  • African Americans were at 6%, while others were at 14%. [2]
  • Only 5.7% of LinkedIn app users in the US are heavy users. [2]
  • This compares to Twitter (87%), Facebook (86%), YouTube (60%), and Instagram (30%). [2]
  • B2B blogs and websites get 90% of their social traffic from Facebook, LinkedIn, and Twitter. [2]
  • Marketers who use it get +18% more pipeline when finding customers. [2]
  • They also get a +7% higher win rate when closing deals. [2]
  • 43% attributed their sales to LinkedIn, Facebook followed at 24%, and Twitter at 20%. [2]
  • 52% of those surveyed said that LinkedIn had the biggest impact during research. [2]
  • According to LinkedIn, senders can get a 300% response rate from InMails compared to other email or messaging platforms. [2]
  • If you send messages to your prospects, you have a response chance of 10. [2]
  • Key stat31% of businesses have fully automated at least one. [3]
  • A 2020 global survey of business leaders from a wide cross section of industries conducted by McKinsey & Co. found that 66% were piloting solutions to automate at least one business process, up from 57% two years earlier. [3]
  • The percentage of companies that have fully automated at least one function, however, has grown more modestly, from 29% in 2018 to 31% in 2020. [3]
  • A case study conducted by consulting firm Elder Research found that forecasts during the four week study delivered a median accuracy rate of 88%. [3]
  • Key statIn early May 2020, U.S. employee engagement advanced to a new high of 38%.—Gallup Improving worker productivity is a top driver for technology investments, including automation. [3]
  • Overall, U.S. productivity growth clocked in at a paltry 1.4% between 2007 and 2019, according to the Bureau of Labor Statistics. [3]
  • In the manufacturing sector, growth has increased only 0.5% since the financial crisis, falling sharply from 4.4%. [3]
  • Among Millennials, 43% envision leaving their jobs within two years, while only 28% see themselves staying beyond five years, according to Deloitte. [3]
  • McKinsey estimates that, in about 60% of occupations, at least one third of workday activities could be automated. [3]
  • Key stat60% of retail respondents have implementation AI, up from 35% during the prior year, making it the industry with the sharpest increase.—McKinsey Advances in AI and machine learning are key enablers of BPA. [3]
  • Among its key findings 63% of those that have implemented AI say that it contributed to increased revenues. [3]
  • 58% embedded at least one AI element into a process or product, up from 47% in 2018. [3]
  • 30% incorporated AI across business units, an increase from 21%. [3]
  • Since the outbreak, McKinsey found that 88% of finance and insurance executives and 76% of those in IT have accelerated their implementations of automation and artificial intelligence. [3]
  • 27% Capture and apply knowledge that is hard to otherwise attain 26% Apply automation to reduce headcount 24%. [3]
  • Digitization and a focus on streamlining business processes is accelerating demand for modern workflow automation management systems, which Grand View expects to show a CAGR of 27.7% through 2025. [3]
  • Key stat64.8% of businesses planned to invest more than $50 million in big data and AI initiatives in 2020, up from 39.7% in 2018.—New Vantage Partners. [3]
  • A recent executive survey from New Vantage Partners shows that 65% of businesses planned to invest more than $50 million in big data and AI initiatives in 2020, up from 40% in 2018. [3]
  • While only 38% have created data driven organizations, 27% have successfully created “data cultures” within their companies. [3]
  • 91% cited people and process challenges as the largest barriers to evolving into data. [3]
  • Key stat88% of corporate controllers expect to implement RPA in 2021, though many are hesitant to use it for financial reporting.—Gartner. [3]
  • RPA could save finance teams 25,000 hours of avoidable rework from human errors, at a cost savings of $878,000, according to research firm Gartner. [3]
  • Still, a study found that only 29% of chief accounting officers surveyed are using RPA for financial reporting. [3]
  • Key stat25% of companies are using AI to screen resumes or job applications.—Littler. [3]
  • Investments in HR technology will soar between 2020 and 2024, according to a report by Gallagher, an insurance brokerage, risk management and consulting firm. [3]
  • More than two thirds, 69%, of HR execs surveyed said they will expand or replace their HR systems by 2024. [3]
  • According to the findings Just 15% have holistic HR technology strategies aligned with their corporate goals. [3]
  • Still, 35% have implemented new HR technology with success since 2018. [3]
  • 29% use more than 75% of the capabilities provided in their systems. [3]
  • Most, 69%, say they are not using these systems in their recruiting or hiring processes, for example. [3]
  • It appears that companies are listening Among the 600 HR and IT executives PwC surveyed, 74% expect to increase HR technology spending. [3]
  • Likewise, 72% said their core HR applications will be cloud based by the end of 2020. [3]
  • 53% of businesses believe ERP is one of the priority sectors for investments. [4]
  • Only 5% of organizations use their ERP effectively to create and augment high quality data, which is key to effective analytics and insights. [4]
  • Around 27% of business respondents are worried about a security breach when adopting an ERP solution. [4]
  • 50% of companies are soon acquiring, upgrading, or planning to update ERP systems soon. [4]
  • The top reasons to implement an ERP are increasing efficiency (35%) followed by cost advantage (29%). [4]
  • Homegrown systems are still prevalent, with 35% of organizations moving away from legacy systems.14%of organizations moved out of their legacy system to advanced ERP in 2019. [4]
  • On average, 13% of organizations are upgrading their ERP systems in 2019. [4]
  • 87% of companies seek guidance for ERP implementation on the whole. [4]
  • 67% seek guidance only for ERP planning. [4]
  • 29% of companies believe they face budget overrun with ERPs due to organizational issues. [4]
  • 89% of companies identified accounting as the most critical ERP function. [4]
  • Other difficulties included inventory and distribution (67%), Customer relationship management , sales (33%), and technology (21%). [4]
  • 47% of ERP users are a part of the manufacturing sector.27%of of employees in an organization use the company’s ERP system. [4]
  • Softwarepath ERP reduces operational costs by 23% and administrative costs by 22%. [4]
  • 95% of businesses achieve major improvements after using ERP through reducing process times, increasing collaboration, and centralizing enterprise data. [4]
  • Modern ERP systems increase on time deliveries by 24%. [4]
  • About 28% of organizations achieved ROI within a year, and over half (58%). [4]
  • 57.5% of small businesses strongly agreed on investing in cloud and hosted solutions. [4]
  • 53% of organizations face problems with functional change with ERP, whereas only 44% face technical difficulties. [4]
  • 60% of people asked for ERP systems to generate reports directly, and nearly half (49%). [4]
  • Panorama found nearly 90% of companies select a cloud based ERP and opt for a SaaS model. [4]
  • The average business runs 38% of workloads in public and 41% in a private cloud. [4]
  • 32% of the total IT budget will be allocated to cloud computing by 2021. [4]
  • 50% of ERP implementations fail the first time around. [4]
  • On average, ERP implementations take 30% more time than estimated. [4]
  • 51 54% of companies experience operational disruption when they go live. [4]
  • According to an Accenture CIO survey, 40% of UK CIOs surveyed do not find it easy to access, analyze, or even use enterprise and customer data for better decision making. [4]
  • 92% of current ERP systems represent a bottleneck for CIOs, often requiring manual/programmatic intervention to enable data sharing. [4]
  • Just 4% of ERPs support omnichannel and modern UI natively. [4]
  • Only 4% of ERPs are aligned with the cloud and provide modernization initiatives. [4]
  • Mentorsunlocked Testing and other related processes can shoot up ERP projects’ budget to 50% more than what was allotted. [4]
  • 44% of organizations say their ERP is inflexible and exploring options for extending it with a new system. [4]
  • The toprated technologies that have been looked up are AI (43%), IOT (40%), and Machine Learning (40%). [4]
  • Evansdata 33% of businesses believe custom APIs are necessary to transform and extract ERP data. [4]
  • 44% of AI developers have already implemented AI to their workflows in ERP systems. [4]
  • Intelligent technology was only a part of 4% of ERP solutions. [4]
  • In this study, they discovered that among the companies surveyed, the ones that were primarily data driven benefited from 4% higher productivity as well as 6% higher profits. [11]
  • By the end, you’ll be 110% sold on the importance of making these kinds of decisions. [11]
  • A 2010 McKinsey study of more than 1,000 major business investments showed that when organizations worked at reducing the effect of bias in their decision making processes, they achieved returns up to 7% higher. [11]
  • 71% of key decision makers state that AI technologies have changed their business for the better. [11]
  • A publication from BISurvey shows us that 58% of the companies they surveyed said that they base at least half of their regular business decisions on gut feel or experience, instead of being data and information. [11]
  • On average, they realized that the companies would use only 50% of the information available when it came to decision. [11]
  • At datapine, we’re 100% committed to helping you make the best data driven decisions for your business. [11]

I know you want to use Decision Management Platforms, thus we made this list of best Decision Management Platforms. We also wrote about how to learn Decision Management Platforms and how to install Decision Management Platforms. Recently we wrote how to uninstall Decision Management Platforms for newbie users. Don’t forgot to check latest Decision Management Platformsstatistics of 2024.

Reference

  1. productiv – https://productiv.com/blog/saas-statistics-that-every-it-manager-should-see/.
  2. sproutsocial – https://sproutsocial.com/insights/social-media-statistics/.
  3. influencermarketinghub – https://influencermarketinghub.com/linkedin-stats/.
  4. netsuite – https://www.netsuite.com/portal/resource/articles/business-strategy/business-automation-statistics.shtml.
  5. g2 – https://learn.g2.com/erp-statistics.
  6. biomedcentral – https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-016-0402-4.
  7. brookings – https://www.brookings.edu/research/fairness-in-algorithmic-decision-making/.
  8. ubalt – http://home.ubalt.edu/ntsbarsh/business-stat/opre504.htm.
  9. qualtrics – https://www.qualtrics.com/blog/online-review-stats/.
  10. wisc – https://guide.wisc.edu/courses/i_sy_e/.
  11. hbs – https://online.hbs.edu/blog/post/data-driven-decision-making.
  12. datapine – https://www.datapine.com/blog/data-driven-decision-making-in-businesses/.

How Useful is Decision Management Platforms

Decision management platforms are software solutions designed to automate and streamline the decision-making process within an organization. These platforms leverage data, analytics, and algorithms to provide insights and recommendations that can help guide decision-makers towards better outcomes. By centralizing and standardizing the decision-making process, decision management platforms can help businesses make decisions more efficiently, accurately, and consistently.

One of the key benefits of decision management platforms is their ability to enhance and optimize decision-making through data-driven insights. These platforms can analyze vast amounts of data in real-time, identifying trends, patterns, and correlations that human decision-makers may overlook. By leveraging advanced analytics and machine learning algorithms, decision management platforms can provide decision-makers with actionable insights that can drive better outcomes and improve overall business performance.

Moreover, decision management platforms can help organizations increase the speed and agility of their decision-making processes. With the ability to automate repetitive and routine decisions, decision management platforms can free up valuable time and resources for decision-makers to focus on more strategic and high-impact decisions. By streamlining decision-making processes and reducing decision-making time, decision management platforms can help organizations respond quicker to market changes, customer demands, and competitive threats.

Another significant advantage of decision management platforms is their ability to promote consistency and standardization in decision-making across an organization. By codifying decision-making rules and criteria within the platform, organizations can ensure that decisions are made consistently and in alignment with organizational goals and objectives. This can help reduce operational risks, improve compliance, and foster a culture of accountability and transparency within the organization.

Furthermore, decision management platforms can enable organizations to scale and adapt their decision-making processes to meet evolving business needs and challenges. With the flexibility to customize decision models, rules, and workflows, decision management platforms can accommodate changes in business strategies, market dynamics, and regulatory requirements. This adaptability can help organizations stay ahead of the curve and make informed decisions that drive growth and competitiveness.

Overall, decision management platforms have proven to be a valuable tool for organizations seeking to improve their decision-making processes and achieve better outcomes. By harnessing the power of data, analytics, and automation, decision management platforms can provide decision-makers with the insights and tools they need to make informed, timely, and effective decisions. As organizations continue to embrace digital transformation and data-driven decision-making, decision management platforms will play an increasingly critical role in helping them navigate the complexities of today’s business landscape.

In Conclusion

Be it Decision Management Platforms benefits statistics, Decision Management Platforms usage statistics, Decision Management Platforms productivity statistics, Decision Management Platforms adoption statistics, Decision Management Platforms roi statistics, Decision Management Platforms market statistics, statistics on use of Decision Management Platforms, Decision Management Platforms analytics statistics, statistics of companies that use Decision Management Platforms, statistics small businesses using Decision Management Platforms, top Decision Management Platforms systems usa statistics, Decision Management Platforms software market statistics, statistics dissatisfied with Decision Management Platforms, statistics of businesses using Decision Management Platforms, Decision Management Platforms key statistics, Decision Management Platforms systems statistics, nonprofit Decision Management Platforms statistics, Decision Management Platforms failure statistics, top Decision Management Platforms statistics, best Decision Management Platforms statistics, Decision Management Platforms statistics small business, Decision Management Platforms statistics 2024, Decision Management Platforms statistics 2021, Decision Management Platforms statistics 2024 you will find all from this page. 🙂

We tried our best to provide all the Decision Management Platforms statistics on this page. Please comment below and share your opinion if we missed any Decision Management Platforms statistics.

Leave a Comment