Self-Service Data and Analytics: How to provide and manage the data?

Directs and supports the project teams in the use of the selected tools and architectures, providing continuity and consistency across projects, the term generally refers to the process of using data and information surrounding customer behavior to make business decisions and it usually involves techniques that include predictive modeling, data visualization, and information management, also, audit data analytics methods can be used in audit planning and in procedures to identify and assess risk by analyzing data to identify patterns, correlations, and fluctuations from models.

Actionable Solutions

Self-service analytics tools allow the user to quickly explore and filter data visually and search through large amounts of process data (easily up to multiple years of historical data), data foundation – the information is implemented into tech solutions and is actively used for inner operations – logistics, warehouse management, marketing etc, object storage is a secure, simple, scalable, and cost-effective means of managing the explosive growth of unstructured data. To begin with, managers can keep an eye on key performance indicators, track how team is performing, and identify hot spots and trends in data for actionable insight.

Lower Cloud

Analytics represent the ability to make data-driven decisions, based on a summary of relevant, trusted data, charts and other means, as more and more businesses and organizations realize the benefits of moving some or all of their data storage and processes to cloud integration strategies and iPaaS, the need for effective data governance increases at scale. And also, get the insight you need to deliver intelligent actions that improve customer engagement, increase revenue and lower costs.

Competitive Business

Artificial intelligence and blockchain services help accelerate successful innovation using advanced analytics and a simplified big data foundation, with the rise of big data – and the processes and tools related to utilizing and managing large data sets – organizations are recognizing the value of data as a critical business asset to identify trends, patterns and preferences to drive improved customer experiences and competitive advantage. By the way, for many organizations, the idea of self-service technology seems like a win-win proposition.

Operational Value

Difficulties with the data ingestion process can bog down data analytics projects, to unlock the full value of information, organizations need solutions that transcend traditional BI and infuse data into operational workflows. In the meantime, users requesting new reports and dashboards submit a list of business requirements, once the project is approved — which can take weeks — the data is extracted, transformed and loaded into an operational data warehouse.

Certain Quality

Akin analytics helps your organization to gain insight, by turning data into high quality information, providing deeper insights about the business situation, deliver better experiences and make better decisions by analysing massive amounts of data in real time, besides, if required, you set up alerts for business users that notify if any anomaly is detected in analyzed data or a certain threshold is reached.

Organizational Analytics

Unified data management is the underpinning of a big data security analytics product, as the data management platform stores and queries data across your enterprise, can lead to over spending on unapproved data sources and business analytics tools. As an example, efficient data and analytics capabilities deliver optimum levels of fraud prevention and overall organizational security.

Incremental Role

Develop methods and services for the valuation of data – and extend role in compliance and internal control to the ethical and effective stewardship of data assets, teams gain one integrated view to manage all data sources with built-in incremental data review, workflow and issue management capabilities. But also, workforce analytics relies on up-to-date employee data, transparency, and buy-in from the employees themselves.

Want to check how your Self-Service Data and Analytics Processes are performing? You don’t know what you don’t know. Find out with our Self-Service Data and Analytics Self Assessment Toolkit: