BIG DATA MANAGEMENT
KPMG | July 01, 2022
KPMG LLP, the U.S. audit, tax and advisory firm, announced it is expanding its KPMG Master of Accounting with Data and Analytics (MADA) Program to drive practical use of the latest analytics technology and meet its vision of making KPMG the employer of choice where underrepresented talent can build thriving careers.
The award-winning, collaborative, first-of-its-kind program prepares students to hit the ground running in today's data age by providing specialized skills for practical use of the latest analytics technology needed in the current data-driven accounting environment.
KPMG is adding seven universities to the MADA program, including Historically Black Colleges and Universities (HBCUs). The firm will provide more than $7 million in scholarship funding over three years to the universities participating in the MADA program to encourage underrepresented individuals to pursue a graduate education.
This expansion aligns with the firm's Accelerate 2025 commitments and is one of several ways KPMG is creating pathways for underrepresented future leaders to build their careers in the profession and with KPMG as an employer of choice. The firm will continue to explore relationships with Hispanic Serving Institutions and Tribal Colleges and Universities, along with other universities to invest in a diverse, sustainable pipeline.
"Expanding the master's program will help close the gap between academic preparation and accounting career readiness," said Scott Flynn, KPMG Vice Chair – Audit. "Importantly, our HBCU-focused investments will support underrepresented individuals and diversify our profession, better enabling us to deliver quality and innovation long-term."
The firm has deepened its relationships with HBCUs. In FY21, hires from HBCUs have increased more than 40% over the previous year. At the end of the 2020-2021 school year, there was a 13% increase in three-year retention rates of professionals from HBCUs and a 19% increase in the five-year retention rate of the firm's HBCU alumni.
The universities newly added to the program are:
Alabama State University's Percy J. Vaugh, Jr. College of Business Administration (HBCU)
Bentley University's McCallum Graduate School of Business
Florida International University College of Business
DePaul University Kellstadt Graduate School of Business
Howard University School of Business (HBCU)
North Carolina Agricultural and Technical State University (HBCU)
Prairie View A&M University College of Business (HBCU)
Additionally, the firm plans to continue to collaborate with universities that have been central to the success of the MADA program for the past several years.
"We have more than 300 graduates of our Master of Accounting with Data and Analytics Program who are using their expertise to bring our clients greater insight and productivity in how we ingest and analyze data," said Becky Sproul, Talent and Culture Leader – Audit. "For audit professionals, comfort with both D&A and automation technologies is a core capability that we invest in through our MADA Program."
Since its launch in 2017, the KPMG MADA Program has been a collaborative effort with pioneering business schools across the United States. By continuing the curriculum-focused initiatives, KPMG aims to set the tone for academic innovation and influence the broader academic community to pursue an advanced curriculum that includes D&A and technology.
About KPMG LLP
KPMG LLP is the U.S. firm of the KPMG global organization of independent professional services firms providing audit, tax and advisory services. The KPMG global organization operates in 144 countries and territories and has more than 236,000 people working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.
BIG DATA MANAGEMENT
Komprise | May 20, 2022
Komprise, the leader in analytics-driven unstructured data management and mobility, today announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.
Industry analysts predict that at least 80% of the world’s data will be unstructured by 2025. This data is critical for AI and ML-driven applications and insights, yet much of it is locked away in disparate data storage silos. This creates an unstructured data blind spot, resulting in billions of dollars in missed big data opportunities.
Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data by up to 80%.
“Komprise has delivered a rapid way to visualize our petabytes of instrument data and then automate processes such as tiering and deletion for optimal savings,” says Jay Smestad, senior director of information technology at PacBio. “Now, the ability to automate workflows so we can further define this data at a more granular level and then feed it into analytics tools to help meet our scientists’ needs is a game changer.”
Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry:
1) Search: Define and execute a custom query across on-prem, edge and cloud data silos to find all data for Project X with Komprise Deep Analytics and the Komprise Global File Index.
2) Execute & Enrich: Execute an external function on Project X data to look for a specific DNA sequence for a mutation and tag such data as "Mutation XYZ".
3) Cull & Mobilize: Move only Project X data tagged with "Mutation XYZ" to the cloud using Komprise Deep Analytics Actions for central processing.
4) Manage Data Lifecycle: Move the data to a lower storage tier for cost savings once the analysis is complete.
Other Smart Data Workflow use cases include:
Legal Divestiture: Find and tag all files related to a divestiture project and move sensitive data to an object-locked storage bucket and move the rest to a writable bucket.
Autonomous Vehicles: Find crash test data related to abrupt stopping of a specific vehicle model and copy this data to the cloud for further analysis. Execute an external function to identify and tag data with Reason = Abrupt Stop and move only the relevant data to the cloud data lakehouse to reduce time and cost associated with moving and analyzing unrelated data.
“Whether it’s massive volumes of genomics data, surveillance data, IoT, GDPR or user shares across the enterprise, Komprise Smart Data Workflows orchestrate the information lifecycle of this data in the cloud to efficiently find, enrich and move the data you need for analytics projects. “We are excited to move to this next phase of our product journey, making it much easier to manage and mobilize massive volumes of unstructured data for cost reduction, compliance and business value.”
Kumar Goswami, CEO of Komprise
Komprise is a provider of unstructured data management and mobility software that frees enterprises to easily analyze, mobilize, and monetize the right file and object data across clouds without shackling data to any vendor. With Komprise Intelligent Data Management, you can cut 70% of enterprise storage, backup and cloud costs while making data easily available to cloud-based data lakes and analytics tools.
BIG DATA MANAGEMENT
Treasure Data | August 05, 2022
Treasure Data, a best-of-breed enterprise customer data platform (CDP), today announced it has been recognized as a Strong Performer by Forrester Research, Inc. in its recently published report "The Forrester Wave™: Customer Analytics Technologies, Q2 2022."
This report evaluated customer analytics technology providers along 32 criteria segmented into three primary categories: current offering, strategy, and market presence.
According to the report, "Treasure Data fully embraces the next-best-experience ethos. While most customer data platforms focus solely on marketing data and use cases, Treasure Data has launched a CDP for Sales and a CDP for Service in addition to its CDP for Marketing. Treasure Data's superior product roadmap focuses on trust through data and model lineage, and democratization through automated machine learning (AutoML). A cash infusion of $234 million from Softbank last year, the largest funding round ever for a CDP, should help Treasure Data achieve it."
The report continued, "As an open platform that is agnostic of data source or type, Treasure Data excels at the breadth of customer data it can store and analyze, and reference customers were highly satisfied with this capability. It also has productized reinforcement learning into strong optimization functionality and offers a robust UI for model evaluation and monitoring."
"We're proud to be the only customer analytics-focused CDP designated as a Strong Performer by Forrester, which further validates, in our opinion, that our current business model, operational strategy, and product roadmap are on track and are propelling the company to greater heights as its maturation continues in a highly-competitive industry category," said Kazuki "Kaz" Ohta, co-founder and chief executive officer of Treasure Data. "As we begin our second decade of operation, we are laser-focused on customer acquisition, deeper penetration of important vertical markets, and building out the product portfolio so Treasure Data CDP can be used by a greater spectrum of potential clients around the world."
About Treasure Data
Treasure Data is a best-of-breed enterprise customer data platform (CDP) that powers the entire business to shape customer-centricity in the age of the digital customer. We do this by connecting all data into one smart customer data platform, uniting teams and systems to power purposeful engagements that drive value and protect privacy for every customer, every time.
Atlan | June 24, 2022
Atlan, the active metadata platform for modern data teams, today announced that it has been recognized as a leader in The Forrester Wave™: Enterprise Data Catalogs for DataOps, Q2 2022. Atlan received the highest score in the current offering and strategy categories.
According to the report, “Atlan is the tool of choice for DataOps and data product deployment. Atlan’s vision is to create frictionless data product deployment through a single metadata and data automation platform. The tool was built by data engineers and for data engineers… As a result, Atlan maintains a strong focus for continued innovation in this metadata-driven data and application ecosystem.”
The Forrester Wave™ assessment evaluated 14 of the most significant enterprise data catalogs across 26 evaluation criteria. The evaluation is a culmination of rigorous, fact-based research, with a view of the relative positions and key differentiation of the top vendors in the market. Atlan received the highest score possible in 17 criteria, including Product Vision, Market Approach, Innovation Roadmap, Performance, and Connectivity, Interoperability, and Portability.
“We’re excited to be named a Leader in this Forrester Wave report. “We believe this validates our place as a pioneer of active metadata and a leader in this space.”
Prukalpa Sankar, Co-founder of Atlan
The Forrester Wave™ report states: “Atlan is more than metadata and data governance, standing out from the competition… Extensive integration makes data sharing easy, flexible, and scalable within hybrid distributed ecosystems for analytics and operational use cases.”
Just three years since its launch, Atlan is the tool of choice for DataOps and data product deployment for a growing list of customers, including WeWork, Plaid, Postman, Scripps Health, TechStyle, SnapCommerce, Delhivery, and Belcorp.
“Atlan is pushing the boundary from a DataOps standpoint,” said Venkat Gopalan, Chief Digital Officer at Belcorp. “You’re disrupting the industry by thinking differently. That’s the core essence of Atlan.”
“Our platform has been designed as more than a traditional data cataloging or a data governance tool,” said Varun Banka, Co-founder of Atlan. “It was built by a data team for the evolving needs of data teams, including transparent data flow and delivery, easy-to-use experience for every data user, and open infrastructure. We can’t wait to continue innovating and bringing the latest in active metadata to modern companies around the world.”
This recognition comes on the heels of other big news for Atlan — becoming the first data catalog validated as a Snowflake Ready Technology Partner; winning the MDS Rocketship Award for Data Discovery; and being named as a Gartner Cool Vendor in DataOps and in the inaugural Market Guide for Metadata Management.
Built by a data team for data teams, Atlan is the active metadata platform for modern data teams. Atlan creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt, Redshift, Looker, Sisense, and Tableau. A pioneer in the space, Atlan was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the Inaugural Market Guide for Active Metadata Management.