Technically Speaking

We’re in the month of September, the busiest time of the year for those selling to the Federal government. When the dust has settled on Q4 of this federal fiscal year, our customers will have spent roughly $30 billion in “fall out money” on IT. That’s a term for funding agencies and offices will lose if they don’t allocate it by September 30. If an office, agency, or department leaves appropriated funds on the table, they’ll have a hard time justifying why they need the same or higher funding levels the following year, hence the year-end rush.

Current IT modernization initiatives are challenging federal agencies to implement significant changes to their infrastructure at a breakneck pace. As they look to keep pace with an increasingly sophisticated cyber threat environment and accommodate workflows shifting to the cloud, the federal government is looking to zero trust as a solution. Zero trust is a security model that maintains secure access to data and applications based on dynamic security policies reacting to access request specifics, as opposed to the network from where access originates.

DLT’s Chief Data Scientist, Sherry Bennett, recently sat down recently with Lora L. Allen, Medallia’s Public Sector Principal CX Advisor and discussed her service in the public sector, Lora’s role at Medallia helping educate and advise government agencies that are tackling CX challenges, and more. Q: Prior to joining Medallia, you spent your entire career in public service, can you kindly tell me how your service has shaped and informed your current focus on customer experience?

State governments want their software to be secure, compliant and designed for the 21st century. As such, many state governments are evaluating their current ERP platforms to determine how to modernize financials, procurement, human capital management, and payroll applications. While some have pursued modernization by embarking on multi-tenant cloud journeys, most organizations are still in the planning phase.

In today’s volatile and disruptive economic environment, CFOs and Finance organizations must lead organizational decision-making processes with insight, speed and confidence. Yet many Finance organizations are still bogged down by inefficiencies in routine processes within the period-end financial close and reporting cycle. And that makes it difficult to shift time to value-added analysis and decision support.

The notion of Data Analytics has been in existence for a very long time. Everyone understood data and analytics as essential to “someone” within the organization, but somehow at a distance. In the best case, the technology team would provide a user with the requested data as a means of assessing success and forecasting the future needs of the organization.