Shadow IT

The main benefit of shadow IT is the increased reactivity. The host department has direct power over its shadow IT resources, as opposed to central ones. Also, alignment between departments, a time-consuming and sometimes impossible task, is avoided.

Shadow IT systems are an important source of innovation, and shadow systems may become prototypes for future central IT solutions.[3]

Incumbent IT management dealing with legacy infrastructure and data management challenges cannot easily provision data as a service, either because they are unaware of its advantages or cannot acquire the budget for its successful implementation. Against this background, neither can the IT department ever deliver against all business requirements at a low enough cost relative to a true DaaS IT department. These deficiencies lead the business to implement IT solutions that may be perceived to cost less to execute, albeit whilst introducing risks a formal IT project could avoid.

For example, with the rise of powerful desktop CPUs, business subject matter experts can use shadow IT systems to extract and manipulate complex datasets without having to request work from the IT department. The challenge for IT is to recognize this activity and improve the technical control environment, or to guide the business in selecting enterprise-class data analysis tools.

A further barrier to adopting DaaS is the legacy IT bulk provisioning of only the 'Read' element of the CRUD model (Create, Read, Update, Delete). This leads IT into neglecting the need to 'write back' into the original dataset, because this is complex to achieve. It is the need of shadow IT users to then store this changed data separately (I.E. 'siloeing') that results in a loss of organisational data integrity.

Placing barriers to shadow IT can be the equivalent of improving organizational security. A study[6] confirms that 35% of employees feel they need to work around a security measure or protocol to work efficiently. 63% send documents to their home e-mail address to continue work from home, even when they are aware that this is probably not allowed.

Besides security risks, some of the implications of Shadow IT are:[7][8]

• Wasted time Shadow IT adds hidden costs to organizations, consisting largely of non-IT workers in finance, marketing, HR, etc., who spend a significant amount of time discussing and re-checking the validity of certain data, setting up and managing systems and software without experience.
• Inconsistent business logic If a ‘shadow IT’ spreadsheet application encapsulates its own definitions and calculations, it is likely that over time inconsistencies will arise from the accumulation of small differences from one version to another and from one group to another, as spreadsheets are often copied and modified. In addition, many errors that occur from either lack of understanding of the concepts or incorrect use of the spreadsheet frequently go undetected due to a lack of rigorous testing and version control.
• Inconsistent approach Even when the definitions and formulas are correct, the methodology for doing analysis can be distorted by the arrangement and flow of linked spreadsheets, or the process itself can be wrong.
• Wasted investment Shadow IT applications sometimes prevent full Return on investment (ROI) from investments in systems that are designed to perform the functions now replaced by Shadow IT. This is often seen in Data warehousing (DW) and Business informatics (BI) projects, which are initiated with good intentions, where the broader and consistent usage of DW and BI in the organization never really starts off. This can also be caused by management failure to anticipate deployment, licensing and system capacity costs when attempting to deliver DW & BI solutions. Adopting an internal cost model that forces potential new users of the DW/BI system to choose cheaper (shadow) alternatives, also plays a part in preventing successful enterprise implementation.
• Inefficiencies Shadow IT can be a barrier to innovation by blocking the establishment of more efficient work processes. Additional performance bottlenecks and new single points of failure may be introduced when Shadow IT systems layer on top of existing systems. Data might be exported from a shared system to a spreadsheet to perform the critical tasks or analysis.
• Higher risk of data loss or leaks Shadow IT data backup procedures may not be provided or audited. Personnel and contractors in Shadow IT operations may not be put through normal education, procedures or vetting processes. Originators of Shadow IT systems may leave the organization often leaving with proprietary data or leaving behind complicated systems the remainder of staff cannot manage.
• Barrier to enhancement Shadow IT can act as a brake on the adoption of new technology. Because IT artifacts, e.g., spreadsheets, are deployed to fill critical needs, they must be replaced carefully. But lacking adequate documentation, controls and standards, that process is slow and error-prone.
• Organizational dysfunction Shadow IT creates a dysfunctional environment leading to animosity between IT and non-IT related groups within an organization. Improper motivations behind Shadow IT efforts such as seeking job-security (i.e., "Bob is the only person with this data," or "What will happen if he leaves?"), data hoarding, self-promotion, favor trading, etc. can lead to significant management issues. A 2015 survey of over 400 global Chief information officers (CIOs) showed 90% of CIOs worldwide find themselves by-passed by line of business at least sometimes. One third (31%) of CIOs globally are routinely side-lined when it comes to making IT purchasing decisions.[9]
• Compliance issues Shadow IT increases the likelihood of uncontrolled data flows, making it more difficult to comply with the Sarbanes-Oxley Act (USA) and many other compliance-centric initiatives, such as: Basel II (International Standards for Banking), GLBA (Gramm-Leach-Bliley Act),[10] COBIT (Control Objectives for Information and related Technology), FISMA (Federal Information Security Management Act of 2002), DFARS (Defense Federal Acquisition Regulation Supplement), GAAP (Generally Accepted Accounting Principles), HIPAA (Health Insurance Portability and Accountability Act), IFRS (International Financial Reporting Standards), ITIL (Information Technology Infrastructure Library), PCI DSS (Payment Card Industry Data Security Standard), GDPR (General Data Protection Regulation),[11] CCPA (California Consumer Privacy Act), NYDFS (New York Department of Financial Services) [12]