Executive Insights: Tesser’s Recommendations for Rapid Analytics Adoption

Tesser's Recommendations for Rapid Analytics Adoption

The pandemic has changed life as we know it today. For enterprises, a crucial change is the shift to virtual platforms: the digital has replaced the physical. This is true for consumers and the different sectors of consumption: retail, healthcare and manufacturing, among others. The transition to digital platforms has thrown open doors to vast opportunities for enterprises to expand and tap into new segments of the market.

By going digital, enterprises have slowly adopted new practices and methods. Some of these include:

organizations realize that by going digital, large quantities of data are accumulated: the ability to accommodate and  analyze the data can create a competitive advantage. This requires investment in a modern analytics ecosystem. 
a better understanding of consumers: Consumers who were an unknown entity before digitization now have a name and a face. For instance, a person operating a laundry machine at a local laundromat becomes a registered profile, owing to the enterprise’s digital transformation. This provides a deeper understanding of consumer behavior. 
using data highlighting inefficiencies within the organization: In a supply chain network, when digitized, every node in the supply chain sends information that allows us to understand how each of the nodes is performing. This can help derive a better understanding of inefficiencies and improve operations. 

Enterprises need to adopt big changes in the way data is analysed. Big Data needs to be organized to answer even the smaller questions, instead of limiting ourselves to the ‘big picture’ perspective. There is a need to engage with disparate data sources to understand and predict changes in consumer patterns. This can be achieved by asking more precise and focused questions that enable quicker analysis and answers. 

In this context, Tesser Insights addresses a compelling question: what are the short and long-term changes that we foresee in data and analytics? Below are our recommendations for rapid adoption of analytics.

An all-in-one self-service application

The need of the hour is a user-friendly single interface where enterprises have access to the entire analytics lifecycle, right from data ingestion to insight visualization. Today, the ability to survey all data in one single place is critical. Framing an efficient data catalogue is necessary. With the power of owning multiple tools for analytics comes the task of checking multiple places for access to information. Data is scattered across the enterprise, but the ability to ingest, transform, analyse, visualize and integrate the data in one application makes the journey from data to insights faster and simpler.

Not only does composable analytics encourage collaboration and evolve the analytics capabilities of the organization, but also increases access to analytics. Access to analytics forms a crucial factor in deriving insights. Accessibility simplifies the utilization of data and enables the rise of the empowered data consumer.

Emphasis on resolving bottlenecks between Business Users and IT

A key hindrances to instant insights is the barrier between Business Users and IT. Consistently swamped with requests from Business Users for newer data sets and data models, IT is often overwhelmed with tasks. Under ideal circumstances, IT should retain focus on provisioning data and making it available to relevant entities in the company. Business Users, on the other hand, should be empowered to build their own small data models to get insights quickly. They should be able to change data models easily without impacting other segments of the organization.

The provision of a sandbox environment can optimize the functioning of both IT and Business Users. Here, Business Users can model their own requirements quickly and test the feasibility of their approach. Once successful, they can transfer their requirements to IT, who will then productionize it. This reduces the time taken by both IT and Business Users to deliver a successful model; not only will Business Users perfected it in the sandbox (through analysis, design, and requirement gathering), but a working prototype now exists for IT to recreate.

However, such solutions should remain wary of reinventing the wheel. To avoid redundancies, enterprises need to be furnished with the ability to search for existing artefacts that can be reused or modified, instead of creating new ones. Only if they are unable to do so are they allowed to create a new product, thereby expediting the process and saving time. 

Heightened demand for actionable AI/ML

Today, there is no shortage of insights. The goal, however, is to understand how insights are being consumed. This can be achieved by increasing the ability to understand how changes in one part of the enterprise may impact another. The need is for a learning engine that is integrated in the ecosystem and decodes the preferences of insights based on users’ consumption history. 

Tesser Insights’ standout feature, Tesser Actionable Insights (TAI), is key to achieving precisely this. TAI allows users to explore the full potential of data and analytics, and realise the true power of insights. TAI’s easy-to-use interface prompts creativity and curiosity in users, encouraging them to start dabbling with data and analytics independently, without prior formal training. Not only does TAI catalyse the adoption of AI and ML, but also enhances the ease of adopting analytics. In a nutshell, TAI is proof that a user-friendly interface can guide Business Users and help them derive business insights without any technical intervention.

Attaining dynamic reporting through graph technology

Graph technology is relevant to enterprises for both securing simplified AI as well as addressing lineage-based questions. For instance, among its most rudimentary tasks, graphs can articulate how rows and columns are relevant to a particular data set. Similarly, in a self-service model, graphs are very critical as they serve information to the user about their data. They help visually demonstrate the relationships between disparate sets of data.

What’s in store: opportunities galore

The aforementioned points are Tesser Insights’ recommendations for rapid adoption of analytics. A platform-based approach provides an end-to-end analytics ecosystem to help implement these recommendations. Tesser Insights provides a perfect platform to help you get started on this exciting digital journey. 

We offer: 

—An end-to-end modern analytics ecosystem that you can readily move into, built on Microsoft Azure.

—A Self-service data and insights application that brings together multiple capabilities in one place allowing Business and IT to collaborate

TAI – Tesser Actionable Insights – a feature that automatically analyses and profiles the data during ingestion. This feature looks for data associations, anomalies in the data and also predicts outcomes instantly. 

API Workbench – The key to delivering insights is to deliver it at the point of action and we enable this by providing API access to analytical data sets, delivering data as a service.

We would be glad to help you with a free consultation to kick start your analytics journey. Please contact us at [email protected] to know more.