b:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"IT Governance | RadioTub Podcasts"}],["$","meta","3",{"name":"description","content":"It’s necessary for enterprises nowadays to collect massive amounts of data for their business—data concerning everything from products and services to market conditions and customer demographics. With so much information at your fingertips, it’s difficult to find the pieces that are accurate and relevant.

This problem is exacerbated by the growth that comes from acquisition. Consolidating data becomes a real issue for newly integrated companies or recently launched branches. After all, standardizing software—considering international legal requirements, different roles, responsibilities, and processes - is challenging when you’re running a global enterprise.

Helmut Schindlwick proposes a solution for these headaches through IT governance. You must put a system in place for inaccurate or redundant data, as well as data that becomes obsolete, and then continuously monitor data quality to ensure optimization. Instead of focusing on software, you should first take"}],["$","meta","4",{"name":"keywords","content":"podcast,latest episodes,RadioTub,IT Governance"}],["$","link","5",{"rel":"canonical","href":"https://www.radiotub.com/podcasts/station/2427091"}],["$","meta","6",{"property":"og:title","content":"IT Governance | RadioTub Podcasts"}],["$","meta","7",{"property":"og:description","content":"It’s necessary for enterprises nowadays to collect massive amounts of data for their business—data concerning everything from products and services to market conditions and customer demographics. With so much information at your fingertips, it’s difficult to find the pieces that are accurate and relevant.

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Helmut Schindlwick proposes a solution for these headaches through IT governance. You must put a system in place for inaccurate or redundant data, as well as data that becomes obsolete, and then continuously monitor data quality to ensure optimization. Instead of focusing on software, you should first take"}],["$","meta","8",{"property":"og:url","content":"https://www.radiotub.com/podcasts/station/2427091"}],["$","meta","9",{"property":"og:site_name","content":"RadioTub"}],["$","meta","10",{"property":"og:locale","content":"en_US"}],["$","meta","11",{"property":"og:image","content":"https://www.radiotub.com/api/og?title=IT+Governance&subtitle=IT+Governance&badge=PODCAST&image=http%3A%2F%2Fit-governance.schindlwick.com%2Fwp-content%2Fuploads%2F2016%2F12%2FPodcast-logo-IT-Governance.jpg"}],["$","meta","12",{"property":"og:type","content":"website"}],["$","meta","13",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","14",{"name":"twitter:title","content":"IT Governance | RadioTub Podcasts"}],["$","meta","15",{"name":"twitter:description","content":"It’s necessary for enterprises nowadays to collect massive amounts of data for their business—data concerning everything from products and services to market conditions and customer demographics. With so much information at your fingertips, it’s difficult to find the pieces that are accurate and relevant.

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Helmut Schindlwick proposes a solution for these headaches through IT governance. You must put a system in place for inaccurate or redundant data, as well as data that becomes obsolete, and then continuously monitor data quality to ensure optimization. Instead of focusing on software, you should first take"}],["$","meta","16",{"name":"twitter:image","content":"https://www.radiotub.com/api/og?title=IT+Governance&subtitle=IT+Governance&badge=PODCAST&image=http%3A%2F%2Fit-governance.schindlwick.com%2Fwp-content%2Fuploads%2F2016%2F12%2FPodcast-logo-IT-Governance.jpg"}],["$","link","17",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}]]