Skip to main content

BI Tools for Supply Chain Management

How Can Business Intelligence for Supply Chain Management Help Your Business?
Gathering and analyzing Business Intelligence should not be difficult and it should not be generic. Dashboards should not be restrictive and business users should be able to get what they need, when they need it to make good business decisions and accurately plan. When it comes to the Supply Chain function and industry, business intelligence is more important than ever today.
If a business can cut through the months and years of customization and planning to achieve a robust business intelligence foundation that provides rapid return on investment (ROI) with low Total Cost of Ownership (TCO), it can get the best from its business intelligence and be competitive and successful. The ideal solution provides tools and features that support Business Intelligence for Supply Chain Managementand are flexible enough to allow the business to meet its own unique business requirements.


Dashboards for Supply Chain Management should provide a comprehensive, out-of-the-box domain and industry focus that includes KPI for supply chain management, and a reporting tool for supply chain management. With these tools, business users can adopt and use business intelligence right away with minimal training and be empowered to find solutions to problems and see patterns and trends and test hypotheses to meet future market and business needs.
As organizations grapple with the expense, importance and value hidden along the steps in the supply chain, most enterprises depend on supply chain reporting and enterprise analyses to establish goals and metrics, and monitor results – all in an effort to control costs, optimize resources and ensure customer and partner satisfaction.
Business Intelligence Software provides the supply chain manager and other teams and individuals engaged in aspects of the supply chain the ability to create reports and personalized dashboards and alerts to establish objective goals and KPI for Supply Chain Management and monitor shipment systems and other enterprise applications using an integrated, single view of data.

Comments

Popular posts from this blog

Why Do You Need Self-Serve Data Preparation?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization. Business users love  Self-Serve Data Preparation  because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists. Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-st...

Evaluating Enterprise Data Literacy

 Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Gartner defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the use case, application and resulting value.” According to the Gartner Annual Chief Data Officer (CDO) Survey, an absence of Data Literacy is the primary reason behind CDOs’ inadequate performance. To combat this, more and more enterprises are engaging in “competency development in the field of Data Literacy.” In a digital culture, the goal is to make data accessible and available to all employees – not just to data scientists, analysts, or CDOs. Right now, most business executives realize that all employees need to “communicate in a common data language,” but data regulations, and privacy and security policies are ...

BI for Customer Relationship Management

Can Business Intelligence for CRM Help Attract and Retain Customers? Customer service and customer satisfaction are the backbone of customer relationships. In an effort to ensure customer satisfaction and retention, businesses spend a lot of time trying to understand buying behavior, customer expectations for product support, website support and product and service variety, as well as gaps in product and service offerings. If an organization can accurately monitor and measure customer service factors and customer satisfaction, it is easier to resolve issues and capitalize on opportunities and to anticipate customer needs and fill market gaps. The goal is always to attract new customers, retain existing customers and obtain those all important client references. Business Intelligence for CRM  is crucial to business success. Your competitors have already embraced metrics and KPI for customer relationship management to provide objective metrics and understand what tasks an...