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DATA & ANALYTICS TRENDS(8) Big Data(8) DATA STRATEGY(6) DATA GOVERNANCE(2)

Applying Performance Management Practices to Your Business

It is a huge challenge to improve an organization's efficiency when it comes to performance management. Most organizations have a base-level performance management system in the technology and IT sector. For example, setting financial goals and looking into KPIs that elevate their businesses forward. Nevertheless, optimizing KPIs according to their needs can be a challenging task.

Proximity Marketing: Leveraging Data for High Effectiveness

Despite being a subcategory of the shopping experience, proximity marketing is constantly and rapidly evolving, especially in the recent years of technological advancements. With an evergrowing availability of data spreading between people and companies, this type of marketing within consumer products can lead to a better understanding of behavior from potential customers.

The Data Life Cycle

The Data & Analytics process has a life cycle needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.

The Five Pillars to Promoting a Data Culture

The Future of Data Warehousing

​​​​​​​Data & Analytics applications evolve and change to constantly match the needs of businesses and their users. We’re seeing a Data Revolution that’s shaping to be an unprecedented time in our industry, steering us to a new horizon of Data Warehousing.

2022 DATA & ANALYTICS TRENDS

Data & Analytics technology is advancing at a breakneck pace, impacting businesses in many ways like all ever-changing markets. From democratizing technologies, to developing innovations around the cloud, new AI capabilities, and much more; several trends are gaining traction in the market.

The Value of Data and Company Strategy

Making business decisions based on the analysis of data must be done in conjunction with a company’s overall strategic goals. Without knowing what these said goals are, it is impossible to prioritize using data correctly.