Cloud Data Warehouse Comparison: Redshift vs. BigQuery vs. Azure vs. Snowflake for Real-Time Workloads

Data helps companies take the guesswork out of decision-making. Teams can use data-driven evidence to decide which products to build, which features to add, and which growth initiatives to pursue. And, such insights-driven businesses grow at an annual rate of over 30%.

But, there’s a difference between being merely data-aware and insights-driven. Discovering insights requires finding a way to analyze data in near real-time, which is where cloud data warehouses play a vital role. As scalable repositories of data, warehouses allow businesses to find insights by storing and analyzing huge amounts of structured and semi-structured data.

The Highest Ranked Business Intelligence Software in 2020

These tools are used by data science professionals and businesses to collect, evaluate, monitor, and predict future business results through basic observations of the company's data. Trends are becoming the standard for business practices, strategic designs, and increasingly critical methods of growing profit through the use of successful visualizations and the provision of real-time online insights. Here are the Top 10 Business Intelligence Software in 2020.

Shortlist 2020: The Best BI Tools In The Market (TIBCO Spotfire | Qlik Sense | SAP CrystalBizdata Bizintel360Tableau DesktopTIBCO JaspersoftSAP Analytics CloudSAP Lumira DiscoveryBirstMicrosoft Power BIQlikView)

5 Ways to Adapt Your Analytics Strategy to the New Normal

Covid 19 has upended all traditional business models and made years of carefully curated data and forecasting practically irrelevant. With the world on its head, consumers can’t be expected to behave the same way they did 9 months ago, and we’ve witnessed major shifts in how and where people and businesses are spending their money. This new normal— the “novel economy,” as many have dubbed it—requires business leaders to think on their feet and adjust course quickly while managing the economic impact of lockdowns, consumer fear, and continual uncertainty. The decisions they make today will affect their company’s trajectory for years to come, so it is more important than ever to be empowered to make informed business decisions.

In recent years, organizations across industries have started to implement advanced analytics programs at a record pace, drawn by the allure of increased efficiency and earnings. According to McKinsey, these technologies are expected to offer between $9.5 and $15.4 trillion in annual economic value when properly implemented. However, most organizations struggle to overcome cultural and organizational hurdles, such as adopting agile delivery methods or strong data practices. In other words, adopting advanced analytics programs is happening across the board, but successful implementation takes a long time.

Database Drivers: Chauffeuring Your Data to Where it Needs to Go

Most, if not all, companies deal with complications and integration headaches somewhere in their data pipeline due to an inability or difficulty of connecting certain systems. Sometimes you have to add yet another technology to the lineup just to connect different systems and get your data to where it needs to go. However, in this modern-day, less is more. Most technologies that emerge are all about being more efficient and providing more functionality in a smaller package. If you can meet your data management needs with fewer tools, then it’s a win-win for cost-effectiveness, efficiency, and ease of use. Enter database drivers.

The Magical Adaptors

To put it plainly, each computer system needs some sort of adaptor or tool to be able to connect to other computer systems that are not the same. You can think about this in the physical or interior (computer system) sense. For a physical example, we all know the major frustration that comes along with upgrading your phone, when your chargers and headphones no longer fit in the ever-shrinking port on the bottom of the phone. However, you can buy an adapter to serve as a “middle man” to enable the connection. With computer systems, it’s the same but different. A database driver works like that physical phone adaptor, but instead of having to invest in an additional product to add to the tech stack, you can develop an adaptor/connector to extend the database functionality. Like an extension to a software package.

Business Intelligence in Microservices: Improving Performance

Do you know why microservice design is so popular within the development of BI tools? The answer is clear: it helps to develop scalable and flexible solutions. But microservice architecture has a great drawback. Its performance usually requires great improvements.

The FreshCode team also faced the problem and I’ve decided to show how we coped with it. The article is written together with FreshCode CTO and based on our recent case of development reporting microservice. You will find here its tech scheme, estimates, as well as a list of tools for on-premise and SaaS products.

Taking a Modern Approach to BI

When legacy Business Intelligence (BI) solutions emerged, the goal was to simplify data access and analysis across an entire company. Sadly, the benefits of these solutions were never realized. Decades later, companies still aren’t seeing the adoption they expected—meanwhile, billions have been spent on BI. Something is clearly missing.

According to IDC, worldwide revenues for big data and BI solutions will reach $260 billion in 2022. Yet, even with all this projected growth, Tableau’s & PowerBI's success, and Looker’s $103 million-dollar funding round, 88% of IT decision makers will choose Excel as the primary tool to explore company data in 2019. So what gives?