governments , critical infrastructure providers , and enterprises face many types of security threats from criminal and terrorist organizations and foreign governments . some of these security threats come from well-organized and well-funded organizations that utilize new and increasingly sophisticated methods . as a result , security and intelligence organizations find it more difficult and complicated to detect , investigate and neutralize threats . many of these organizations are seeking to deploy more advanced data mining solutions that can help them capture and analyze data from multiple sources to effectively and efficiently address the challenge of increased sophistication and complexity . shortage of security analysts increasing the need for automation . security organizations are using data mining solutions to help conduct investigations and generate actionable insights . typically , data mining solutions require security organizations to employ intelligence analysts and data scientists to operate them . however , there is a shortage of such qualified personnel globally leading to elongated investigations and increased risk that security threats go undetected or are not addressed . to overcome this challenge , many security organizations are seeking advanced data mining solutions that automate functions historically performed manually to improve the quality and speed of investigations and intelligence production . these organizations are also increasingly seeking artificial intelligence and other advanced data analysis tools to gain intelligence faster with fewer analysts and data scientists . need for predictive intelligence as a force multiplier . predictive intelligence is generated by correlating massive amounts of data from a wide range of disparate sources to uncover previously unknown connections , identify suspicious behaviors using advanced analytics , and predict future events . predictive intelligence is a force multiplier , enabling security organizations to allocate resources more effectively to prioritize various operational tasks based on actionable intelligence . security organizations are seeking advanced data mining solutions that can generate accurate and actionable predictive intelligence to shorten investigation times and empower their teams with greater insights . see item 1 , “ business ” , of this report for more information on key trends that we believe are driving demand for our solutions and “ risk factors ” under item 1a of this report for a more complete description of risks that may impact future revenue and profitability . critical accounting policies and estimates an appreciation of our critical accounting policies is necessary to understand our financial results . the accounting policies outlined below are considered to be critical because they can materially affect our operating results and financial condition , as these policies may require us to make difficult and subjective judgments regarding uncertainties . the accuracy of these estimates and the likelihood of future changes depend on a range of possible outcomes and a number of underlying variables , many of which are beyond our control , and there can be no assurance that our estimates are accurate . revenue recognition we derive and report our revenue in two categories : ( a ) product revenue , including licensing of software products and sale of hardware products ( which include software that works together with the hardware to deliver the product 's essential functionality ) , and ( b ) service and support revenue , including revenue from installation services , post-contract customer support ( “ pcs ” ) , project management , hosting services , saas , managed services , product warranties , business advisory consulting and 34 training services . we recognize revenue when control of the promised goods or services is transferred to our customers , in an amount that reflects the consideration that we expect to receive in exchange for those goods or services . we generate all of our revenue from contracts with customers . we account for revenue in accordance with accounting standards update ( “ asu ” ) no . 2014-09 , revenue from contracts with customers ( topic 606 ) . our revenue recognition policies require us to make significant judgments and estimates . in applying our revenue recognition policy , we must determine which portions of our revenue are recognized at a point in time ( generally product revenue ) and which portions must be deferred and recognized over time ( generally services and support revenue ) . we analyze various factors including , but not limited to , the selling price of undelivered services when sold on a stand-alone basis , our pricing policies , the creditworthiness of our customers , and contractual terms and conditions in helping us to make such judgments about revenue recognition . changes in judgment on any of these factors could materially impact the timing and amount of revenue recognized in a given period . our contracts with customers often include promises to transfer multiple products and services to a customer . typically , our customer contracts include perpetual or term-based licenses , professional services , and pcs . in contracts with multiple performance obligations , we identify each performance obligation and evaluate whether the performance obligations are distinct within the context of the contract at contract inception . performance obligations that are not distinct at contract inception are combined . contracts that include software customization may result in the combination of the customization services with the software license as one distinct performance obligation . the transaction price is generally in the form of a fixed fee at contract inception , and excludes taxes assessed by a governmental authority that are both imposed on and concurrent with a specific revenue-producing transaction , that are collected by us from a customer . we allocate the transaction price to each distinct performance obligation based on the estimated standalone selling price ( “ ssp ” ) for each performance obligation . judgment is required to determine the ssp for each distinct performance obligation . story_separator_special_tag in addition , we generally receive a higher volume of orders in the last month of a quarter , with orders concentrated in the later part of that month . we believe that these seasonal and cyclical factors primarily reflect customer spending patterns and budget cycles , as well as the impact of incentive compensation plans for our sales personnel . while seasonal and cyclical factors such as these are common in the software and technology industry , this pattern should not be considered a reliable indicator of our future revenue or financial performance . many other factors , including general economic conditions , may also have an impact on our business and financial results . overview of operating results 38 the following table sets forth a summary of certain key financial information for the years ended january 31 , 2019 , 2018 , and 2017 : replace_table_token_4_th year ended january 31 , 2019 compared to year ended january 31 , 2018 . our revenue increased approximately $ 94.5 million , or 8 % , from $ 1,135.2 million in the year ended january 31 , 2018 to $ 1,229.7 million in the year ended january 31 , 2019 . the increase consisted of a $ 55.0 million increase in product revenue and a $ 39.5 million increase in service and support revenue . in our customer engagement segment , revenue increased approximately $ 56.2 million , or 8 % , from $ 740.1 million in the year ended january 31 , 2018 to $ 796.3 million in the year ended january 31 , 2019 . the increase consisted of a $ 37.5 million increase in product revenue and an $ 18.7 million increase in service and support revenue . in our cyber intelligence segment , revenue increased approximately $ 38.3 million , or 10 % , from $ 395.2 million in the year ended january 31 , 2018 to $ 433.5 million in the year ended january 31 , 2019 . the increase consisted of a $ 20.8 million increase in service and support revenue and $ 17.5 million increase in product revenue . for additional details on our revenue by segment , see “ —revenue by operating segment ” . revenue in the americas , emea , and apac represented approximately 54 % , 26 % , and 20 % of our total revenue , respectively , in the year ended january 31 , 2019 , compared to approximately 53 % , 31 % , and 16 % , respectively , in the year ended january 31 , 2018 . further details of changes in revenue are provided below . operating income was $ 114.2 million in the year ended january 31 , 2019 compared to $ 48.6 million in the year ended january 31 , 2018 . this increase in operating income was primarily due to a $ 92.1 million increase in gross profit , reflecting increased gross profit in both of our segments and a decrease in amortization of acquired technology intangible assets , partially offset by a $ 26.5 million increase in operating expenses , which primarily consisted of an $ 18.5 million increase in net research and development expenses and an $ 11.2 million increase in selling , general and administrative expenses , partially offset by a $ 3.2 million decrease in amortization of other acquired intangible assets . further details of changes in operating income are provided below . net income attributable to verint systems inc. was $ 66.0 million , and diluted net income per common share was $ 1.00 , in the year ended january 31 , 2019 , compared to a net loss attributable to verint systems inc. of $ 6.6 million , and net loss per common share of $ 0.10 , in the year ended january 31 , 2018 . these improved operating results in the year ended january 31 , 2019 were primarily due to a $ 65.6 million increase in operating income , as described above , and a $ 14.9 million decrease in our provision for income taxes primarily resulting from a decrease in accrued withholding taxes and the release of certain valuation allowances , partially offset by a $ 6.8 million increase in total other expense , net , and a $ 1.1 million increase in net income attributable to our noncontrolling interests . further details of these changes are provided below . a portion of our business is conducted in currencies other than the u.s. dollar , and therefore our revenue and operating expenses are affected by fluctuations in applicable foreign currency exchange rates . when comparing average exchange rates for the year ended january 31 , 2019 to average exchange rates for the year ended january 31 , 2018 , the u.s. dollar strengthened relative to the brazilian real and australian dollar resulting in an overall decrease in our revenue on a u.s. dollar-denominated basis . furthermore , the u.s. dollar weakened relative to our hedged israeli shekel rate , euro , and british pound sterling , resulting in an overall increase in operating expenses on a u.s. dollar-denominated basis . for the year ended january 31 , 2019 , had foreign exchange rates remained unchanged from rates in effect for the year ended january 31 , 2018 , our revenue would have been approximately $ 0.7 million higher and our cost of revenue and operating expenses on a combined basis would have been approximately $ 7.8 million lower , which would have resulted in a $ 8.5 million increase in operating income . as of january 31 , 2019 , we employed approximately 6,100 professionals , including part-time employees and certain contractors , compared to approximately 5,200 at january 31 , 2018 . year ended january 31 , 2018 compared to year ended january 31 , 2017. our revenue increased approximately $ 73.1 million , or 7 % , from $ 1,062.1 million in the year ended january 31 , 2017

net cash provided by operating activities net cash provided by operating activities is driven primarily by our net income or loss , as adjusted for non-cash items , and working capital changes . operating activities generated $ 215.3 million of net cash during the year ended january 31 , 2019 , compared to $ 176.3 million generated during the year ended january 31 , 2018 . our improved operating cash flow in the current year was primarily due to higher operating income , partially offset by the net effect of changes in operating assets and liabilities and the net effect of non-cash items , as compared to the prior year . operating activities generated $ 176.3 million of net cash during the year ended january 31 , 2018 , compared to $ 172.4 million generated during the year ended january 31 , 2017. our improved operating cash flow in the year ended january 31 , 2018 reflected , in part , $ 3.6 million of lower combined interest and net income tax payments , compared to the prior year . 50 our cash flow from operating activities can fluctuate from period to period due to several factors , including the timing of our billings and collections , the timing and amounts of interest , income tax and other payments , and our operating results .


 Write a concise suspicious activity report of the following text delimited by triple backquotes. Return your response as a formal report which covers the key points highlighting the location,dates,entity names and account holder information in chronological order of the text.
     ```net cash provided by operating activities net cash provided by operating activities is driven primarily by our net income or loss , as adjusted for non-cash items , and working capital changes . operating activities generated $ 215.3 million of net cash during the year ended january 31 , 2019 , compared to $ 176.3 million generated during the year ended january 31 , 2018 . our improved operating cash flow in the current year was primarily due to higher operating income , partially offset by the net effect of changes in operating assets and liabilities and the net effect of non-cash items , as compared to the prior year . operating activities generated $ 176.3 million of net cash during the year ended january 31 , 2018 , compared to $ 172.4 million generated during the year ended january 31 , 2017. our improved operating cash flow in the year ended january 31 , 2018 reflected , in part , $ 3.6 million of lower combined interest and net income tax payments , compared to the prior year . 50 our cash flow from operating activities can fluctuate from period to period due to several factors , including the timing of our billings and collections , the timing and amounts of interest , income tax and other payments , and our operating results .
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 Suspicious Activity Report : governments , critical infrastructure providers , and enterprises face many types of security threats from criminal and terrorist organizations and foreign governments . some of these security threats come from well-organized and well-funded organizations that utilize new and increasingly sophisticated methods . as a result , security and intelligence organizations find it more difficult and complicated to detect , investigate and neutralize threats . many of these organizations are seeking to deploy more advanced data mining solutions that can help them capture and analyze data from multiple sources to effectively and efficiently address the challenge of increased sophistication and complexity . shortage of security analysts increasing the need for automation . security organizations are using data mining solutions to help conduct investigations and generate actionable insights . typically , data mining solutions require security organizations to employ intelligence analysts and data scientists to operate them . however , there is a shortage of such qualified personnel globally leading to elongated investigations and increased risk that security threats go undetected or are not addressed . to overcome this challenge , many security organizations are seeking advanced data mining solutions that automate functions historically performed manually to improve the quality and speed of investigations and intelligence production . these organizations are also increasingly seeking artificial intelligence and other advanced data analysis tools to gain intelligence faster with fewer analysts and data scientists . need for predictive intelligence as a force multiplier . predictive intelligence is generated by correlating massive amounts of data from a wide range of disparate sources to uncover previously unknown connections , identify suspicious behaviors using advanced analytics , and predict future events . predictive intelligence is a force multiplier , enabling security organizations to allocate resources more effectively to prioritize various operational tasks based on actionable intelligence . security organizations are seeking advanced data mining solutions that can generate accurate and actionable predictive intelligence to shorten investigation times and empower their teams with greater insights . see item 1 , “ business ” , of this report for more information on key trends that we believe are driving demand for our solutions and “ risk factors ” under item 1a of this report for a more complete description of risks that may impact future revenue and profitability . critical accounting policies and estimates an appreciation of our critical accounting policies is necessary to understand our financial results . the accounting policies outlined below are considered to be critical because they can materially affect our operating results and financial condition , as these policies may require us to make difficult and subjective judgments regarding uncertainties . the accuracy of these estimates and the likelihood of future changes depend on a range of possible outcomes and a number of underlying variables , many of which are beyond our control , and there can be no assurance that our estimates are accurate . revenue recognition we derive and report our revenue in two categories : ( a ) product revenue , including licensing of software products and sale of hardware products ( which include software that works together with the hardware to deliver the product 's essential functionality ) , and ( b ) service and support revenue , including revenue from installation services , post-contract customer support ( “ pcs ” ) , project management , hosting services , saas , managed services , product warranties , business advisory consulting and 34 training services . we recognize revenue when control of the promised goods or services is transferred to our customers , in an amount that reflects the consideration that we expect to receive in exchange for those goods or services . we generate all of our revenue from contracts with customers . we account for revenue in accordance with accounting standards update ( “ asu ” ) no . 2014-09 , revenue from contracts with customers ( topic 606 ) . our revenue recognition policies require us to make significant judgments and estimates . in applying our revenue recognition policy , we must determine which portions of our revenue are recognized at a point in time ( generally product revenue ) and which portions must be deferred and recognized over time ( generally services and support revenue ) . we analyze various factors including , but not limited to , the selling price of undelivered services when sold on a stand-alone basis , our pricing policies , the creditworthiness of our customers , and contractual terms and conditions in helping us to make such judgments about revenue recognition . changes in judgment on any of these factors could materially impact the timing and amount of revenue recognized in a given period . our contracts with customers often include promises to transfer multiple products and services to a customer . typically , our customer contracts include perpetual or term-based licenses , professional services , and pcs . in contracts with multiple performance obligations , we identify each performance obligation and evaluate whether the performance obligations are distinct within the context of the contract at contract inception . performance obligations that are not distinct at contract inception are combined . contracts that include software customization may result in the combination of the customization services with the software license as one distinct performance obligation . the transaction price is generally in the form of a fixed fee at contract inception , and excludes taxes assessed by a governmental authority that are both imposed on and concurrent with a specific revenue-producing transaction , that are collected by us from a customer . we allocate the transaction price to each distinct performance obligation based on the estimated standalone selling price ( “ ssp ” ) for each performance obligation . judgment is required to determine the ssp for each distinct performance obligation . story_separator_special_tag in addition , we generally receive a higher volume of orders in the last month of a quarter , with orders concentrated in the later part of that month . we believe that these seasonal and cyclical factors primarily reflect customer spending patterns and budget cycles , as well as the impact of incentive compensation plans for our sales personnel . while seasonal and cyclical factors such as these are common in the software and technology industry , this pattern should not be considered a reliable indicator of our future revenue or financial performance . many other factors , including general economic conditions , may also have an impact on our business and financial results . overview of operating results 38 the following table sets forth a summary of certain key financial information for the years ended january 31 , 2019 , 2018 , and 2017 : replace_table_token_4_th year ended january 31 , 2019 compared to year ended january 31 , 2018 . our revenue increased approximately $ 94.5 million , or 8 % , from $ 1,135.2 million in the year ended january 31 , 2018 to $ 1,229.7 million in the year ended january 31 , 2019 . the increase consisted of a $ 55.0 million increase in product revenue and a $ 39.5 million increase in service and support revenue . in our customer engagement segment , revenue increased approximately $ 56.2 million , or 8 % , from $ 740.1 million in the year ended january 31 , 2018 to $ 796.3 million in the year ended january 31 , 2019 . the increase consisted of a $ 37.5 million increase in product revenue and an $ 18.7 million increase in service and support revenue . in our cyber intelligence segment , revenue increased approximately $ 38.3 million , or 10 % , from $ 395.2 million in the year ended january 31 , 2018 to $ 433.5 million in the year ended january 31 , 2019 . the increase consisted of a $ 20.8 million increase in service and support revenue and $ 17.5 million increase in product revenue . for additional details on our revenue by segment , see “ —revenue by operating segment ” . revenue in the americas , emea , and apac represented approximately 54 % , 26 % , and 20 % of our total revenue , respectively , in the year ended january 31 , 2019 , compared to approximately 53 % , 31 % , and 16 % , respectively , in the year ended january 31 , 2018 . further details of changes in revenue are provided below . operating income was $ 114.2 million in the year ended january 31 , 2019 compared to $ 48.6 million in the year ended january 31 , 2018 . this increase in operating income was primarily due to a $ 92.1 million increase in gross profit , reflecting increased gross profit in both of our segments and a decrease in amortization of acquired technology intangible assets , partially offset by a $ 26.5 million increase in operating expenses , which primarily consisted of an $ 18.5 million increase in net research and development expenses and an $ 11.2 million increase in selling , general and administrative expenses , partially offset by a $ 3.2 million decrease in amortization of other acquired intangible assets . further details of changes in operating income are provided below . net income attributable to verint systems inc. was $ 66.0 million , and diluted net income per common share was $ 1.00 , in the year ended january 31 , 2019 , compared to a net loss attributable to verint systems inc. of $ 6.6 million , and net loss per common share of $ 0.10 , in the year ended january 31 , 2018 . these improved operating results in the year ended january 31 , 2019 were primarily due to a $ 65.6 million increase in operating income , as described above , and a $ 14.9 million decrease in our provision for income taxes primarily resulting from a decrease in accrued withholding taxes and the release of certain valuation allowances , partially offset by a $ 6.8 million increase in total other expense , net , and a $ 1.1 million increase in net income attributable to our noncontrolling interests . further details of these changes are provided below . a portion of our business is conducted in currencies other than the u.s. dollar , and therefore our revenue and operating expenses are affected by fluctuations in applicable foreign currency exchange rates . when comparing average exchange rates for the year ended january 31 , 2019 to average exchange rates for the year ended january 31 , 2018 , the u.s. dollar strengthened relative to the brazilian real and australian dollar resulting in an overall decrease in our revenue on a u.s. dollar-denominated basis . furthermore , the u.s. dollar weakened relative to our hedged israeli shekel rate , euro , and british pound sterling , resulting in an overall increase in operating expenses on a u.s. dollar-denominated basis . for the year ended january 31 , 2019 , had foreign exchange rates remained unchanged from rates in effect for the year ended january 31 , 2018 , our revenue would have been approximately $ 0.7 million higher and our cost of revenue and operating expenses on a combined basis would have been approximately $ 7.8 million lower , which would have resulted in a $ 8.5 million increase in operating income . as of january 31 , 2019 , we employed approximately 6,100 professionals , including part-time employees and certain contractors , compared to approximately 5,200 at january 31 , 2018 . year ended january 31 , 2018 compared to year ended january 31 , 2017. our revenue increased approximately $ 73.1 million , or 7 % , from $ 1,062.1 million in the year ended january 31 , 2017

