> To view the original interview on Digitalist Magazine, click HERE.
We spoke with Dave Spencer, president of BackOffice Associates, North America, to gain his insight on how CIOs can streamline and accelerate digital transformation initiatives. BackOffice is a worldwide leader in solutions that solve enterprises’ most complex data transformation challenges.
We see many enterprises embracing digital transformations, which also drive the need for and importance of a data transformation. How can companies drive higher success rates in their evolution toward the intelligent enterprise?
Companies have traditionally viewed cloud migration, business suite adoption, and other digital transformation initiatives as a one-time project that previously utilized manual, siloed approaches. However, this is no longer a sustainable model, as data is an ongoing and evolving energy source across all digital transformation activities. It is critical to establish a holistic, connected approach for managing all facets of the data transformation, regardless of the starting point. This includes formally assessing the current systems landscape and data quality status, as well as developing an implementation and information governance roadmap that incorporates key data processes to drive desired business outcomes. Data will only continue to grow in volume and business models to transform.
What is driving today’s enterprise digital transformations?
A number of disruptive events are driving the need for widespread digital transformation, not to mention the exploding number of technologies available to connect companies more closely to their customers. For example, GDPR, M&A events, e-commerce growth, and the adoption of cloud applications create the need to quickly synthesize mission-critical data from various corporate systems, as well as migrate, separate or harmonize it into new solutions to support the future-state company. This also requires ongoing data-quality management, metadata management, master data management, and access to key analytics, as well as the ability to archive inactive data.
Another example is the need to maintain compliance with strict industry standards such as GDPR or HIPAA, which requires companies to be able to locate sensitive data, confirm that it is accurate and being handled correctly, and produce proper evidence to demonstrate these facts. A data transformation can help solve this complex data challenge by confirming the presence of all critical data as well as its ongoing accuracy through information governance policy enforcement.
What do you see as the best-practice approach to managing enterprise data transformation?
Solving enterprises’ most complex data challenges requires a unique approach to data expertise, intelligent software, and solution accelerators. As companies deal with exponentially higher volumes of structured and unstructured data and constantly changing data sources like IoT sensors, they need a comprehensive way to incorporate and leverage these ever-changing data dynamics. Utilizing data experts and employing AI and machine learning technologies, along with industry-specific knowledge, enables companies to leverage automation while making targeted data decisions that will ultimately drive intended business results. Data serves as the critical energy source of a business, so getting it right at a foundational level. Implementing automation to make it useful without the added cost and complexity of customization offers a major opportunity for generating a competitive advantage.
How can information governance serve as a disruptive innovator?
Embarking on a digital transformation requires major shifts in how a business manages its vast amounts of quickly changing data – whether consolidating outdated systems into a cloud-based business suite or bringing together multiple financial and business systems for a cost-restructuring initiative. Getting the information governance piece right is key to achieving success, particularly in complex data landscapes. Automating the governance process with a crowdsourced approach is an innovative and effective way to leverage the cross-departmental knowledge of any organization, as well as drive universal accountability for maintaining data quality.
What does the future hold?
As our customers grapple with ever-expanding volumes of both structured and unstructured data across heterogeneous system landscapes, it is clear that data migrations, quality, and governance initiatives are now a critical foundational element of ongoing business operations. To meet the needs of today’s Fortune 1000 companies, we at BackOffice Associates will continue advancing our platform with cloud-enabled scalability, “synthetic” consulting delivered through the latest AI and machine learning technologies, and rapid automation that enables organizations to deploy critical business rules in real time.
For more information about digital transformation best practices, please visit BackOffice Associates at www.boaweb.com.
Dave Spencer spearheads BackOffice Associates’ sales go-to-market strategies for its comprehensive data governance, quality and migration software, and professional services solutions. He also drives the company’s overall revenue growth and partnership initiatives.