Issue link: https://insights.oneneck.com/i/1519571
Introduc on to Modern Analy cs Solu ons Analy cs solu ons are now founda onal tools across industries, empowering organiza ons to transform enterprise data into meaningful, ac onable insights. But while teams have been onboarding these solu ons at a fast clip, not everyone is tapping into the technology's full poten al. In fact, most aren't. Fewer than 20% of companies have achieved advanced analy cs at scale.¹ Those who aren't effec vely leveraging their analy cs solu ons to steer decision-making are missing out on opportuni es to minimize costs, project future revenue and resource needs and reduce complexity, to name a few.² There's a lot to gain from pu ng data at the center of everything you do, but finding the right path to get there isn't always obvious. The challenge begins with picking the right analy cs solu on—one that aligns with your organiza on's needs and is both me- and cost- efficient to deploy. Azure Synapse Analy cs (Synapse) is an analy cs service that brings together SQL technologies used in enterprise data warehousing, Apache Spark technologies for big data and Azure Data Explorer for log and me series analy cs. Ideal for mid- and large-sized enterprise organiza ons, as it accelerates me to insight across data warehouses and big data systems, Synapse provides business and technical benefits for both high-level decision-makers as well as data engineers and data scien sts. In this guide, we'll look at Azure Synapse Analy cs next to several of the leading modern analy cs solu ons—Snowflake, BigQuery and Redshi —to help you determine the best fit for your environment. What to Consider When Choosing an Analy cs Solu on When you start comparing analy cs solu ons, they may not appear overwhelmingly different. A er all, every solu on is more or less focused on helping you complete the same tasks. This can make it even harder to isolate the best solu on for your needs. As you shop around for an analy cs solu on, keep these things in mind: • Business objec ves: Start by naming your organiza on's overarching goals, and then break these down into measurable analy cs tasks. The right solu on should not only meet your analy cs requirements but also offer data visualiza on and repor ng tools so you can effec vely deliver insights to both technical and non-technical users. • Use cases: Understand how specifically will your organiza on leverage and analyze data. This should be the main driver in your decision-making. For example, organiza ons aiming to analyze user behavior may need immediate insights, requiring a solu on that can deliver real- me analy cs. But if large-scale analyses aren't me-sensi ve, a batch processing-oriented solu on may be a be er, more cost-efficient choice. • Data integra ons: The best analy cs solu on for your organiza on is one that can easily integrate with your current infrastructure. It's also important to consider how a solu on can connect with third-party data sources and applica ons, both those you use today and those you may onboard in the future. 2 Comparison Guide: Azure Synapse Analy cs vs. Other Leading Solu ons ¹ Building an effective analytics organization. McKinsey & Company. ² Building a strong data analy cs pla orm architecture. TechTarget. 87.8% of execu ves report increases in corporate data and analy cs investments. Source: Forbes.