BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE

Mode Analytics Recognized as a Leader in Snowflake’s Modern Marketing Data Stack Report

Mode Analytics | September 30, 2022 | Read time : 03:00 min

Mode Analytics
Mode Analytics today announced that it has been recognized as a Business Intelligence Leader in the inaugural Modern Marketing Data Stack Report: Your Technology Guide to Unifying, Analyzing, and Activating the Data that Powers Amazing Customer Experiences, executed and launched by Snowflake, the Data Cloud company.

Snowflake’s data-backed report identifies the best of breed solutions used by Snowflake customers to show how marketers can leverage the Snowflake Data Cloud with accompanying partner solutions to best identify, serve, and convert valuable prospects into loyal customers. By analyzing usage patterns from a pool of nearly 6,000 customers, Snowflake identified six technology categories that organizations consider when building their marketing data stacks. These categories include:

  • Analytics
  • Integration & Modeling
  • Identity & Enrichment
  • Activation & Measurement
  • Business Intelligence
  • Data Science & Machine Learning

Focusing on companies that are active members of the Snowflake Partner Network (or ones with a comparable agreement in place with Snowflake), as well as Snowflake Marketplace Providers, the report explores each of these categories that comprise the Modern Marketing Data Stack, highlighting technology partners and their solutions as “leaders” or “ones to watch” within each category. The report also details how current Snowflake customers leverage a number of these partner technologies to enable data-driven marketing strategies and informed business decisions. Snowflake’s report provides a concrete overview of the partner solution providers and data providers marketers choose to create their data stacks.

“Marketing professionals continue to expand their investment in analytics to improve their organization’s digital marketing activities. “Mode has emerged as a leader in the Modern Marketing Data Stack, with joint customers leveraging their technology to interpret insights that lead to informed business decisions.”

Denise Persson, Chief Marketing Officer at Snowflake

Mode was identified in Snowflake’s report as a Leader in the Business Intelligence category for its particular success with Visual Explorer, Mode’s flexible visualization system that helps analysts explore data faster and provides easy-to-interpret insights to business stakeholders. Additionally, Mode and Snowflake have partnered in the past couple of years tocreate a modern data analytics stack, mobilizing the world’s data with the Snowflake Data Cloud to help joint customers quickly execute queries and perform analysis.

“Mode combines the best elements of business analytics and data science into a single platform, unlocking new ways for marketers to accelerate data-driven outcomes,” said Gaurav Rewari, CEO, Mode Analytics. “Our partnership with Snowflake makes it possible for marketing and other departments across an organization to truly centralize and interact directly with their data. With Snowflake’s single, integrated data platform, built to fully leverage the speed and flexibility of the cloud, organizations can mobilize their data in near-real time.”

About Mode Analytics
Mode’s advanced analytics platform is designed by data experts for data experts. It allows data scientists and analysts to visualize, analyze, and share data using a powerful end-to-end workflow that covers everything from early data exploration stages to presentation-ready shareable products. Unlike traditional business intelligence tools that produce static dashboards and reports, Mode brings the best of BI and data science together in a single platform, empowering everyone at your organization to use data to make high quality, high velocity decisions. Mode also supports the analytics community with free learning resources such as SQL School, open source SQL queries, and free tools for anyone analyzing public data.

Spotlight

When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.


Other News
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Tellius Enhances Decision Intelligence Platform to Unify Insights Across Disparate Datasets

Tellius | November 10, 2022

Tellius today announced the latest version of its decision intelligence platform with new features including Multi-Business View Vizpads. The enhancements in Tellius 4.0 will help users unify insights for more holistic views, accelerate ad hoc analysis in an enterprise-controlled manner, and get faster onboarding and time to insights. Introducing Multi-Business View Vizpads As the number of dashboards grow in a company, so does the amount of context switching and stitchwork to get the full picture of what is happening in the business to make better decisions. As a result, most organizations today are experiencing disconnected decision-making—leading to missed opportunities to increase revenue and improve customer retention. To reduce this friction, Tellius has added Multi-Business View Vizpads (MBV Vizpads) to its platform, unifying analysis across disparate data sources. Now, users can gain greater visibility into data across sources without needing to toggle through multiple dashboards, enabling better collaboration, efficiency, and decision-making across different functions. For example, marketing teams could use MBV Vizpads to view Google Analytics site traffic alongside Salesforce data for an omni-view of the journey from visitor to prospect to customer, all in one place. This data can then be fed into Tellius’ AI-driven decision intelligence engine to uncover the what, why, and how that informs better business decisions. “Tellius recognizes that business decisions are rarely narrow in scope, so the new ability for VizPads to work across Business Views is important. But I think they go further than just decision support — it’s decision management. For a well-governed business, the ability to track and evaluate outcomes is just as critical as the decision itself," said Donald Farmer, a data and analytics product expert and Principal at TreeHive Strategy Services. Delivering enterprise-grade ad hoc analysis and faster time to insights In addition to introducing MBV Vizpads, Tellius also rolled out a host of other features, including: Guided walkthroughs, in-app chat, and feedback support to improve the onboarding and user experience, empowering customers to realize value from insights faster than ever before Enhanced search disambiguation and date operators to make Tellius’ search functionality more robust Default User Groups, Spark SQL support, and OAuth support for Snowflake Audit logs to deliver superior enterprise-grade decision intelligence capabilities. This platform enhancement news comes on the heels of Tellius’ $16 million Series B funding round led by Baird Capital. Tellius also received significant industry recognition for its decision intelligence platform this year, including being named a Visionary in the 2022 Gartner® Magic QuadrantTM for Analytics and BI Platforms and a representative vendor in the 2022 Gartner® Market Guide for Multipersona Data Science and Machine Learning Platforms. “We’ve made a fundamental shift by simplifying how users interact with Tellius. Multi-Business View Vizpads will empower business users to analyze insights across disconnected and disparate data models to unlock game-changing holistic decision-making,” said Hardik Chheda, Chief Product Officer at Tellius. “We will continue to invest in the entire user journey on our platform - with a core focus on user onboarding, supercharging our ad-hoc analysis capabilities, and adding robust enterprise capabilities.” About Tellius Tellius is an AI-driven decision intelligence platform that enables anyone to get faster insights from their data. The company helps organizations across industries, including financial services, pharmaceutical and life sciences, retail, healthcare, and high technology, accelerate their journey from data to decisions by augmenting human expertise and curiosity with intelligent automation. The company’s platform combines AI- and ML-driven automation with a search interface for ad hoc exploration, allowing users to ask questions of their business data, analyze billions of records in seconds, and gain comprehensive, automated insights in a single platform. Founded in 2016, Tellius is backed by Baird Capital, Sands Capital Ventures, Grotech Ventures, and Veraz Investments.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Databricks to help companies solve data, analytics and AI challenges

EY | December 13, 2022

The EY organization today announces an alliance between Databricks, a data lakehouse company, and Ernst & Young LLP (EY US) to help organizations simplify and democratize data, analytics and artificial intelligence (AI). Combining the knowledge, business insights and consulting capabilities of EY data scientists with Databricks' Lakehouse Platform, the alliance will help enable massive-scale data engineering, machine learning (ML) and business analytics for organizations across nearly every industry. Databricks has become a cornerstone for companies looking to put data at the center of their business strategy by pioneering the data lakehouse category and providing advanced technologies that analyze and transform complex data sets into insights and solutions. The Databricks Lakehouse Platform brings together the best qualities of data warehouses and data lakes to help organizations accelerate innovation through critical data-driven use cases — from data warehousing and data streaming to data science and ML — on an open unified platform. As a long-time consumer of Databricks, EY US has seen first-hand the platform's immense value, having implemented it for a number of internal use cases. One notable example, the EY organization's proprietary solution, Trusted Data Fabric, is underpinned by Databricks. Together, the technology embeds trust to reduce the risk of data misuse, providing a platform for secure and ethical use of intelligence-enriched assets. Greg Sarafin, EY Global Partner Ecosystem Leader Entering into an alliance with Databricks strengthens our ability to address the needs of clients seeking to gain significant business benefits from their data, whether for operational efficiency, stakeholder experiences, risk mitigation or creating entirely new sources of revenue. EY teams offer the breadth of services necessary to turn data insights at scale into enterprise value, enabled by Databricks' Lakehouse and the extraordinary AI and ML capabilities of that platform. Kori O'Brien, SVP, Global Consulting & SI Partners at Databricks "We are thrilled to welcome EY US to the Databricks partner ecosystem to help data-driven organizations adopt the Lakehouse Platform and deliver more value to their businesses with data, analytics and AI. We look forward to continuing to innovate with EY teams and provide new capabilities, services and tailored industry solutions for our joint customers to unlock the power of their data with a lakehouse." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Alteryx to help accelerate digital transformation through analytics automation

EY | November 28, 2022

The EY organization today announces an alliance between Alteryx, one of the leaders in analytics automation, and Ernst & Young LLP (EY US), to help organizations unlock the power of data through automation and digital transformation. Most organizations face inefficiencies and increased costs when carrying out day-to-day business and back-office operations. As they undergo digital transformation efforts, they tend to devote more time to data manipulation than to data analysis. As a result, revisiting and updating their existing technologies to improve data literacy throughout the organization becomes critical to achieve their transformation goals. The EY–Alteryx Alliance will help clients across various sectors optimize data-driven processes by generating valuable insights to deliver faster, better business outcomes to achieve efficiency in business operations. The alliance leverages the highly intuitive and easy-to-learn data analytics automation platform of Alteryx along with the EY organization's digital transformation capabilities across Strategy and Transactions, Consulting and Tax. The Alteryx platform combines three key pillars of automation and digital transformation — data, processes and people — to help enable data democratization, business process automation and people upskilling. Users are then better able to unlock the value of advanced analytics using its user-friendly platform, analyze a wide range of data from multiple sources and deliver business insights to answer business questions more efficiently. Among other strengths, EY US is well-known among clients and in the market for its consulting capabilities. With more than 700 certified implementers of Alteryx across service lines and countries, EY US teams have built innovative, proprietary solutions that are supported by Alteryx. Through the EY–Alteryx Alliance, clients gain access to and counsel from the right technology and consulting talent for data exploration, transformation and analysis. Brian May, EY Americas Alliance and Managed Services Leader, says: "This collaboration combines advanced technology and consulting capabilities for data exploration and analysis across key functional areas including tax, finance, human resources, supply chain, internal audit and IT. Activating and accelerating rapid digital transformation is paramount in helping organizations efficiently navigate today's evolving business landscape." Barb Huelskamp, Alteryx SVP of Channel Sales, says: "By aligning the EY organization's rich heritage of experience with the Alteryx analytics automation platform, we provide incremental value for key customer segments across the office of finance, human resources, supply chain and more. Our shared objective helps organizations optimize analytics to help drive large-scale business transformations." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Accenture to Acquire ALBERT After Completing Tender Offer

Accenture | November 15, 2022

Accenture is to acquire Japanese data science company ALBERT Inc. (President and CEO: Tokyo Stock Exchange Growth Market, Securities Code: 3906), after completing a tender offer. The acquisition will add a large team of data scientists to Accenture to further strengthen its data and AI capabilities for clients. The tender offer was launched on September 29 and closed on November 14. The number of ALBERT's common shares and stock acquisition rights tendered to Accenture significantly exceeds the threshold required for ALBERT to become part of Accenture, equal to two thirds of the ALBERT stock. Upon completion of the transaction, ALBERT will be part of Accenture. Accenture expects to purchase all remaining shares and stock acquisition rights in the coming months, after which ALBERT will be delisted from the Tokyo Stock Exchange. ALBERT offers AI and big data analytics services, AI-based algorithm development, AI implementation consulting, and data science training support, primarily to major corporations in Japan. The company was founded in 2005 and was listed on the Tokyo Stock Exchange in 2015. Its data science team of 250 permanent employees and contractors will join Accenture’s Applied Intelligence practice, which provides AI and data-led transformation solutions and services. ALBERT will strengthen Accenture’s ability globally to help its clients manage the total reinvention of their enterprises, which most successful companies will undergo in the next decade. Technology, data and AI will transform every part of their business, enabling new ways of working and engaging with customers, business models and growth opportunities. The acquisition will be Accenture’s latest step to further strengthen its services in Japan that use data to digitally replicate the entire enterprise and to help Japanese companies grow and become more competitive with deep data analytics and AI expertise. Accenture has launched several solutions for data-driven management in Japan recently, for example, to forecast various business scenarios and propose actions to improve the forecasts, and to support clients’ ESG (environment, society, and corporate governance) practices. Atsushi Egawa, who leads Accenture’s business in Japan, said, “Companies today need a 360-degree view on their business to make better and faster decisions. They must look beyond the financials and include, for example, sustainability initiatives, customer experiences, and people development and retraining. Gaining this holistic perspective and being able to simulate every aspect of the business requires deep data science expertise and AI capabilities. Accenture and ALBERT’s team will bring these to clients to help them succeed in their total enterprise reinvention.” “ALBERT’s philosophy is to connect the world with data science and co-create new value for a better future. As leading companies across industries are investing heavily in AI, we’re seeing growing demand for the technologies and skills that are the core of our business. By joining Accenture, which excels at addressing its clients' most complex opportunities and issues, our team can drive even more value for clients and accelerate the implementation of AI in society.” Takeshi Matsumoto, President, and CEO of ALBERT ALBERT will follow other acquisitions Accenture has made to strengthen its data and AI capabilities for clients globally. These include Analytics8 in Australia; Sentelis in France; Bridgei2i and Byte Prophecy in India; Pragsis Bidoop in Spain; Mudano in the UK; and Clarity Insights, End-to-End Analytics and Core Compete in the US. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

Read More

Spotlight

When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.

Resources