Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Sigmoid
Sequoia-backed data consulting company
AWS Partner Highlights
1 AWS Competencies
4 AWS Service Validations
5+ AWS Certifications
50+ AWS Customer Launches
Sigmoid enables business transformation using data and analytics, leveraging real-time decisions through insights, by building modern data architectures using cloud and open source. Some of the world’s largest data producers are engaging with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, marketing analytics, artificial intelligence, and DataOps.
AWS Partner Website
us
Headquarters
San Francisco
100 Pine St #1250, San Francisco, CA , USA
San Francisco, California 94111
Share Feedback
AWS Partner descriptions are provided by the AWS Partner and are not verified by AWS.
AWS Validated Qualifications
AWS Competencies
  • Consumer Goods Services Competency
Partner Programs
  • Advanced Tier Services
AWS Service Validations
  • Amazon Kinesis Delivery
  • AWS Glue Delivery
  • Amazon EMR Delivery
  • Amazon Redshift Delivery
Solutions (1)

Sorted by: A-Z

solution validation level iconFoundational

Sigview
Sigview has the capability to ingest data across multiple sources like Social, RTB data, data lakes to name a few and generate actionable insights. The product has custom charting, alerting and reporting features.
Practices (8)

Sorted by: A-Z

solution validation level iconAdvanced

Amazon Vendor Central Connection
Sigmoid helps to deploy the overall solution that includes AVC data API connectors into Snowflake/S3.
solution validation level iconAdvanced

Marketing Data Hub
Marketing Data Hub for optimizing Media Spend and finding the right marketing mix
solution validation level iconAdvanced

Point of Sales Data Hub
Point of Sales Data Hub is a data lake solution built using lake house architecture on AWS. It helps to automate ingestion from various data sources like Retailers (Offline and Online), syndicate data providers(Nielsen/IRI/Ipsos), distributors or franchises, on-trade channels (restaurants/cafes/hotels), sell-in data source, field sales applications, CRM, Loyalty, promotions, demographics and seasonality. These data points enables marketing, sales and brands team in unlocking insights like Assortment, Pricing, Merchandising, promotions, sales trend and share of market.
solution validation level iconAdvanced

Amazon Kinesis Delivery

Real-time analytics using Kinesis
Kinesis is one of the most important workloads that helps to securely ingest streams of data/video into S3 or any other processed store in real-time. There are various solutions where automating data ingestion is primary theme and this is one of the areas where Sigmoid has deep expertise.
solution validation level iconFoundational

Revenue Growth Management on AWS
Revenue growth management (RGM) can be defined as the increase in revenue due to the availability of the right brand, pack, and brand-pack mix to the right consumer, at the right price, and on the right occasion. Traditionally, core RGM strategies have been tactical and reactional in nature. These include adjusting price based on consumer price elasticities, shifting trade investments toward higher-growth categories, or discounting selected brands for special occasions. Sigmoid has taken a more intriguing approach toward RGM. RGM leveraging demand shaping, sensing and fulfilment techniques can create a holistic impact on five major dimensions of CPGs - categories, occasions, consumers, channels, and competitors.
solution validation level iconAdvanced

Amazon EMR Delivery

Sigmoid Amazon EMR Specialization
In each of the Data Engineering service offerings, EMR plays a very important role, be it using EMR for processing big data pipelines, or running open-source data platforms like Apache Spark on EMR for transforming and loading data into Redshift. Another important usage we have seen while operationalizing ML pipelines using EMR and Sagemaker. EMR with its ability to process data directly from Amazon S3 allows seamless data transformation and use it for relevant applications - reporting, analytics or building ML models. Overall Amazon EMR allows greater flexibility and helps customers derive large amounts of data into insights and decisions cost-effectively."
solution validation level iconAdvanced

Amazon Redshift Delivery

Sigmoid Amazon Redshift Specialization
Organizations have long used traditional data warehouses as a preferred architecture to collate, organize and access enterprise data hosted on servers. However, challenges such as finite storage capacity and cost of ownership are making enterprises move from on-premise to AWS. AWS provides organizations with agility, scalability, security and is highly reliable. Sigmoid's partnership with AWS is helping customers in realizing true potential of their data by enabling these major solutions: 1. Migrating from legacy on-premise data warehouse to well-architected Lakehouses on AWS 2. Building a cloud data warehouse to interface with existing Data Lakes on AWS 3. Migrating from other proprietary Data Warehouses to Redshift
solution validation level iconAdvanced

AWS Glue Delivery

Sigmoid AWS Glue Specialization
Extract, transform, and load (ETL) orchestration is a common mechanism for building big data pipelines. Orchestration for parallel ETL processing requires the use of multiple tools to perform a variety of operations. To simplify the orchestration, we can use AWS Glue workflows. Sigmoid has demonstrated success in doing parallel ETL orchestration using AWS Glue workflows and triggers. Sigmoid has also demonstrated how to use custom classifiers with AWS Glue crawlers to classify fixed width data files.
Case Studies (1)

Sorted by: A-Z

Consumer Goods | Unified Commerce
Building Consumer Segmentation solution for maximizing LTVs
This case study deals with: 1. Identifying the customer segments which represent highest LTV 2. Alignment of media campaigns to better target specific customer segments 3. Identify top performing customer segments which would act as inputs to marketing activities across platforms
Sigmoid Customer References (3)
Locations (5)
Headquarters

San Francisco

100 Pine St #1250, San Francisco, CA , USA

San Francisco, California, 94111, United States

Bengaluru

#7, Lightspro Bldg, Gulmohar Enclave Rd., Kundanahalli Gate, Bengaluru, India 560037

Bengaluru, Karnataka, 560037, India

Lima

Av Santo Toribio 143 Piso 8, San Isidro, Lima, Perú

Lima, , 15073, Peru

New Jersey

155 2nd St, Jersey City, NJ 07302

New Jersey, [NJ] New Jersey, 07302, United States

Plano

6010 W Spring Creek Pkwy, Suite 215 Plano, TX

Plano, Texas, 75024, United States