Category Archives: Big Data

Microsoft Inspire, Las Vegas 2018

Day 1 at Microsoft Inspire, Las Vegas

The 1st day at Microsoft Inspire, the largest annual meet conducted by Microsoft, year after year for its network partners to gather on one platform and review as well as ready for the next insights from Microsoft and also to broaden the community’s understanding of its services and products and brainstorm on ideas and solutions that can be offered to the customers around the globe to be able to use the available services in an increasingly efficient manner was a feast for the eyes. With the largest gathering of IT brains all across the world, the event presented the numerous partners and employees who traveled from lands near and far a plethora of opportunities than ever wherein everyone gathered in the T-Mobile Arena to hear to the world leaders talk about how Microsoft technologies and services were being channeled y the partners and global entrepreneurs to bring innovation and ease the life of customers and change business perspectives through intelligent transformation  across borders.

Microsoft Inspire 2018

The focus was also on the upcoming financial year 2019 on how industry specific solutions and customer centric policies and updates that would not only help acquire new customers and businesses but also help retain the previous clientele. New strategies, enhanced training methodologies and readiness opportunities for the new players that come into the market and anchor themselves with Microsoft technologies which would give them the much needed base for growth in the industry.

The evening also witnessed great insights from Gavriella Schuster, Corporate Vice president, One Commercial Partner, about programs, tools and resources that would help partners to rejuvenate as well as differentiate their business with the help of latest Microsoft technologies and updates.

 Day 2nd  Microsoft Inspire, Las Vegas

Corenote, about to start at 8.30 AM Pacific Time was filled with activities and similar sessions  with opportunities to connect with active partner communities at the Community Hub. Shuttle services from the hotels started from as early as 6 AM. With resources available to book meeting spaces and also tools that allow booking face-to- face meetings with other attendees till a maximum 9 members per meeting.  Also the meeting could be reserved for available slots at the MyInspire meeting tables or any other alternate locations. The Happy Hours in The Commons started from 5 PM to 7 PM that provided unparalleled opportunity to meet up fellow partners and Microsoft Ready Attendees.

Day 3rd  Microsoft Inspire, Las Vegas

that concluded the Corenote at Las Vegas, Nevada was made all the more worth it by the  address of Satya Nadella that enlightened the audience comprising of partners and employees on how Microsoft planned to harp on its mission of empowering every person and organization on the planet to achieve more using its latest technologies such as the Microsoft Intelligent Cloud and Microsoft Intelligent Edge.  There were talks by Microsoft Solution area leaders who spoke about new resources and assets that aided delivery of strong Modern Life Solutions with stories from customers all around the world that showed how Microsoft 365 enabled employees to bring in more innovation and creativity into the workspace. Also, the day included details about the expansion of the Azure platform that enabled improvisation across multiple domains.

Enamoring the event were performances from Grammy Award Winner Bruno Mars at One Celebration, Las Vegas Motor Speedway which added to the quotient of entertainment, networking and fun of the event. With the event in full swing, Microsoft also added to the excitement by putting up 10 new announcements which have already started creating ripples in the market and the results of these announcements would be soon seen in numbers. The announcements put forth by Microsoft are as listed below

  • New marketplace capabilities such as Integrated Partner to Partner Solutions that will help channels grow their business with sales and deployment.
  • Expansion of Private Offers in Azure Marketplace that will help partners move away from standard prices, offer better buying prices to customers who in turn achieve a unique buying experience and meet their buying needs.
  • Special Bootcamps and free access to the dynamic self service for partners, including business insights which would help them get a better understanding of the business apps and enable them to understand performance and stability of their business.
  • Microsoft also announced advanced specialization and services for its partners that would help them go the extra mile and boost their profitability.
  • The Azure Expert MSP or Managed Service Provider program which begun as a pilot program earlier this year has been introduced by Microsoft for their partners who stand out of the crowd by demonstrating extra ordinary skills in delivering consistent Managed Services in Azure
  • Market Benefits Package: Helping its partners build market practices that are more targeted and help partners to select from four business packages depending on their business focus in the later part of the year.
  • New Apps and Technologies for Azure: Announcements regarding the launch of Azure Data Box Disk and Azure Firewall and Azure Virtual WAN. These innovations seem quite promising when it comes to data transfer within organizations as well as compliance policies.
  • Microsoft 365 Updates: Announcing the availability of Microsoft Teams collaboration app as a free version in the Office 365 suite. Also, an additional feature of Workplace Analytics was added that would help teams discover and meet challenges.
  • Updates on Software as Services: Releasing updates on a lot many services from its plethora of services such as Azure IoT Central which would in turn support for Power BI and Microsoft Flow to enable real time intelligence visualization.
  • Expansion of the Microsoft Library of free playbooks with two new additions to help its partners build practices in new arenas which would serve as guidelines for managing and developing cloud practices.

BIG DATA transforms Logistics industry in BIG way

With the internet usage around the world and especially in developing countries such as India increasing at an exponential rate both in the terms of individual as well as business, humongous amount of data is bound to be generated. No business vertical can afford to not put to use this valuable data and extract useful information which would empower them to take prudent business decisions. And yes, Logistics & Supply Chain industry is certainly one of the early movers to have embraced this DATA revolution.

The term BIG DATA Analytics refers to the processes, methodologies and algorithmic techniques employed by the businesses to analyze the enormous amount of collected data, make sense out of it and take critical business decisions which would eventually improve their operational efficiency and improve customer satisfaction. In other words, BIG DATA enables the businesses to predict the probability of the occurrence of an event from the past trends and thereby take judicious and timely decisions.

BIG DATA transforms Logistics industry in BIG way
BIG DATA transforms Logistics industry in BIG way

As an instance, for the Logistics and Supply chain industry, extracting useful information from the huge unorganized data collected through different platforms will help the supply chain professionals to gain insights into the various business parameters such as operational risk management, layout optimization, pricing strategies, improved product and service delivery.

So what encompasses Analytics Domain?

In the complex information flow of the SCM and Logistics industry, BIG Data Analytics encloses three major areas: –

  • Descriptive Analytics where in a past business situation is described in a way of trend/pattern to provide an insight into any forthcoming event. This is normally done using Standard reporting dashboards, Alerts.
  • Predictive Analytics uses the REAL time data and historical data to make predictions about the events having the probability of occurrence in the future. These mostly include Time Series, Regression analysis.
  • Prescriptive Analytics uses the predictions based on past trends and data and also suggests a set of action/s that could be undertaken for a possible foreseeable event.

BIG DATA to reap BIG Benefits

In the field of Logistics and SCM, Big Data Analytics uses all the three above mentioned techniques to synchronize the end to end logistical chain thereby making an incremental impact on the supply chain drivers such as inventory planning, facilities /warehouse management, transportation management, sourcing and procurement, pricing.

  • Warehouse management: – Using Advanced Analytics based on the collected data the organization can take a judicious decision on the location and capacity of the proposed warehouse facility and even monitor it’s
  • Inventory Planning: – Having an extremely optimized inventory planning model would go a long way in improving the responsiveness and efficiency of the organization.
  • Transportation Planning: – The application of BIG DATA analytics in devising an optimal travel route for the material and goods transfer has gone a long way in improving last mile delivery, identifying risk areas, predicting accurate delivery times and most of all making transportation safer both for the material and people involved.

 

In a developing country such as India where the Logistics and Supply chain industry is in a very chaotic state yet in a stage from where it is to grow beyond one’s imagination, effective use of available analytical techniques such as BIG DATA       will help companies to standardize their decision-making process. Of course, the recent decision of the Govt. of India to introduce the GST (Goods and Services Tax) by next fiscal will only help the logistics industry to streamline it’s processes and costs making the industry leaner.

Logistics and Supply chain is an industry which is driven by quantifiable performance indicators and hence “Real-time Analytics” of rapidly increasing, huge and unstructured data is inevitable.