Use cases: Benefits of data-driven decisions in all business areas

[najmulislam77]

Data-driven decision making is one of the goals to be achieved by companies seeking to generate an impact in their sector.

Learn the benefits of making data-driven decisions in every business area!

How data-driven decisions drive business?
There is no longer any doubt that companies must use data as an asset to differentiate themselves in the market and boost their growth.

Data-driven decision making guarantees business success, because digital transformation is advancing rapidly and more and more organizations are immersed in this universe where information abounds.

Although many companies believe that analyzing the afghanistan phone number lead data they generate and store is simple, it is a complex action that requires strategies, planning and precise contextual knowledge.

The key is to promote governance, collaboration and sharing . In short, to encourage and generate the democratization of data among team members .

In times where data is disintegrated from people , this is extremely valuable because it helps overcome the challenge by uniting technology and human action .

Of course, it is D&A (Data & Analytics) leaders who need to support their organization with reliable, high-quality services to generate measurable business results and achieve stakeholder goals.

In this scenario, automation becomes relevant, since it promotes more efficient and reliable processes.

Specifically, data-driven decisions are possible if all of a company's employees have access to the data and know how to use it to benefit the business.

Furthermore, technology, and with it an architecture that promotes scalability and automation, are essential to enhance D&A and self-service analytical models .

Use cases: Benefits of data-driven decisions in all business areas
In its Roadmap “Drive Successful Digital Growth With Data and Analytics,” Gartner notes that the most successful organizations establish cross-functional teams for their D&A initiatives , including the following leaders and their teams:

CEO
CEOs deal with most of the business decisions that have the greatest impact on the organization as a whole. CDAOs can guide CEOs in improving the impact of these relevant decisions.

CIO
The CIO creates a collaborative work structure with the CDAO, with clear and specific responsibilities for each role, with the goal of operationalizing D&A mastery throughout the organization.

CFO
CFOs are the guardians of the business, responsible for strategy, investment and performance. As such, they tend to lead D&A. CDAOs provide strategic planning advice to CFOs and help certify operational performance results .

CMO
Many CMOs have strong data analytics skills. Those who don’t rely on the CDAO, who plays a key role in risk management, investment, pricing and campaign optimization, revenue forecasting, and customer engagement.

CHRO
CHROs have been automating and simplifying various aspects of the HR lifecycle, using AI to identify talent, plan profiles, etc. Therefore, the CHRO can help the CDAO with a unique vision for change management programs and expanding data literacy.

COO
Operational leaders join CDAO to empower data-driven decision making . Integrated business planning needs reliable data to drive improved supply chain performance, reduce time to market, and deliver better customer service.

Risk Managers
Risk leaders leverage D&A to help guide and ensure visibility into integrated risks across data, systems, and processes across the organization. At the same time, they collaborate with D&A leaders on connected governance efforts to solve the most complex challenges in privacy, security, trust, retention, and ethics.

Software Engineering Leaders
Software Engineering leaders are key to driving the delivery of software capabilities that support innovative business processes and enterprise decisions. CDAOs and these leaders must work in unison to deliver business value to the entire organization.

CISO
CISOs and D&A leaders work closely together, as IT security requires timely insight and predictive models to help anticipate and then respond to the organization’s biggest threats. Data -driven decisions require the democratization of information so that each member can carry out their responsibilities intelligently and in favor of the business.