In this modern era of digital transformation and big data, business intelligence (BI) dashboards have grown increasingly important in the improvement of business performance and growth of organizations. Dashboards enable you to easily identify and analyze key insights at a glance, and more accurately make important decisions. There are different types of dashboards to fit particular use cases and audiences, including the operational dashboard, strategic dashboard, and analytical dashboard.

Our three key points are: How well do you really know your Ecommerce business? If you have no way of accessing your store’s real-time big data, you can’t see a snapshot of your business at any point in time. Without a business intelligence software platform or BI tools, you’re missing out on real-time benefits.

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

Data governance was an exclusive set of skills and tools based on old-school rules until a few years ago. Today, that's changed. While people who manage data still need tools, rules, and protocols to control and secure data use and sharing, three major trends have transformed the data ecosystem. First, the explosion of data from many nontraditional sources (personal devices, sensors, social data, etc.) provided businesses with massive and unprecedented information to dig for insight.

Finance leaders are facing the most turbulent trading conditions for more than a generation. The odds of recession are rising, US inflation has hit a 40-year peak, the “Great Resignation” has denied organisations the people they urgently need to go to market, stock markets have slumped, exchange rates are beyond volatile and, although abating, there is still the threat of a fresh round of Covid. Forecasting business performance has never been so challenging.

Pub/Sub’s ingestion of data into BigQuery can be critical to making your latest business data immediately available for analysis. Until today, you had to create intermediate Dataflow jobs before your data could be ingested into BigQuery with the proper schema. While Dataflow pipelines (including ones built with Dataflow Templates) get the job done well, sometimes they can be more than what is needed for use cases that simply require raw data with no transformation to be exported to BigQuery.

As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics. There is a clear difference between operational reporting and BI, but they can and should work together. Companies use one or the other, and if they have both, there is a gap between them.

Business intelligence (BI) dashboards, also known as BI dashboards, are a powerful way to help people collect, share and analyze their business data to make informed decisions. Dashboards can help users monitor operations, optimize processes, and improve overall business performance by having data readily available, and can also help detect and prevent potential problems before they become issues with its use of real time data.

Snowflake’s Data Cloud is powered by a single engine. From day 1, we have been focusing on consistently evolving and improving this engine to allow existing workloads to run more efficiently and enable new workloads to run on Snowflake. The single engine approach translates into a single experience—from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios.

Dashboards and reports are two common terms used interchangeably in discussion around business intelligence (BI) and data analytics platforms. Both are analysis tools used to present operational information graphically, provide visibility into organizational performance, and enable informed decision-making based on hard tracked metrics. But what is the actual difference between BI dashboards vs a report?