Build | Be Different

Thought leading insights and perspective from Isima and our customers.


Introduction What is the common infrastructure hurdle shared by high-frequency trading, ad bidding, and eCommerce? Accurate and real-time inventory. All these domains have a finite commodity to trade, and it’s constantly changing hands — every nanosecond, millisecond, or second.  If an overly accurate view of inventory is provided, the risk is lost business, and likewise, […]

Customer data is imported into bi(OS) through various mechanisms, some requiring us to expose a public HTTP endpoint. These endpoints are protected against bots. We also record these attack vectors within bi(OS). We built this multi-cloud bot detection capability in 4 weeks using this data. Further, this dynamic list of bots is also made available to all our customers.
The world’s largest eCommerce player uses zero third-party pixels. The second largest uses 20+. The second-largest player has 6X lower traffic and 2X worse conversion after 20+ years of eCommerce. Is it a coincidence?  We think not. The last decade of SaaS-based crutches to optimize the eCommerce funnel has failed. As consumers demand ever-increasing privacy, the walled gardens of Google and Apple are responding with tightening around third-party support. It's time for a new way to approach eCommerce analytics that optimizes conversions, customer experience (CX), and privacy.
Distributed systems are hard. Infrastructure SLAs, sluggish database queries, and microservices latencies must be stitched together to form an accurate view for any eCommerce business. Add agile CI/CD with a Kubernetes-esque control plane, and the fragmented observability toolchain becomes a tax. How does one answer a simple question: are the customer experience (CX) and business KPIs healthy?  Well, that’s what bi(OS) empowers eCommerce teams to do.
I am Saurabh, a Tech Lead at Pharmeasy. My team develops and maintains the ML infrastructure for serving customer recommendations. Last year, we deployed our first real-time recommendation engine for non-Rx product category recommendations on our home page.  This blog will explain how Isima’s bi(OS) helped with this initiative and the solution architecture for recommendations.

White Papers

bi(OS) – An Overview

Isima’s bi(OS) is the easy, lean, fast eCommerce Analytics Cloud. Iteliminates tool and team bottlenecks of the ‘modern data stack’ (MDS). A single data analyst using bi(OS) can deliver API, AI, and BI use cases in days, radically reducing time to value with the best price-performance on the cloud. Read more to learn about bi(OS)’s […]

Date governance

bi(OS) – Data Governance Capabilities

Isima takes Enterprise-readiness seriously – it is built-in, not bolted-on. In fact, within less than two weeks, bi(OS) passed the InfoSec and privacy approval of a Telco with strict geographical and sovereignty regulations around customer data. Read-more how Data Governance capabilites give peace-of-mind to IT teams while protecting consumer privacy.

The state of multi and hybrid cloud

The Data Super Cloud

Isima has always believed in a multi-cloud fabric for data and analytics. It makes BCP, GR, and Cloud migrations a thing of the past and lets users choose the ecosystem of choice in an IT-governed manner. Read more how we validated various infrastructure characteristics of the Big 3 Clouds using bi(OS). Ingest on AWS, Analyze […]

8 Years of Prime Days

𝐖𝐡𝐚𝐭 𝐮𝐧𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐭𝐞𝐝 [data] 𝐡𝐞𝐚𝐯𝐲 𝐥𝐢𝐟𝐭𝐢𝐧𝐠 𝐢𝐬 𝐰𝐨𝐫𝐭𝐡 𝐝𝐞𝐥𝐞𝐠𝐚𝐭𝐢𝐧𝐠? This question by Amazon Retail teams gave birth to AWS and the Cloud as we know it – sorry, Sand Hill Road, you missed this one big. Our teams decided to explore how the Cloud has delivered for Amazon on its marquee event – primeday – for […]

No Third-Party Agenda

Brand Dynamics

A typical iOS app has 18+ 3rd party SDKs (and Android apps have 28+). This results from a decade-long infiltration of your app by SaaS providers, each offering a point solution as a quick fix. And it’s starting to hurt. After a decade-long investment, brands are staring at the genuine possibility of a sub-par consumer […]


The [Easy|Lean|Fast] Analytics Cloud

Shift + DEL Kafka

Shift + DEL (99% of) Kafka

The trade-offs of CDC

The 4 eras of Analytics