BIG DATA
Capture, Store, Analyze & Deliver Data @ Cloud Scale.
The future of Big Data is the rise of what is called ‘fast data’ and ‘actionable data’.
Big Data, typically relies on Hadoop and NoSQL databases to analyze the information in the batch mode, fast data allows for processing in real-time streams.
Actionable data is the missing link between big data and business value. By processing data with the help of analytical platforms, organizations can make information accurate, standardized, and actionable.
Big Data Analytics
Leverage the most effective big data technology to analyze the growing volume, velocity and variety of data for the greatest insights
WHAT IS BIG DATA ANALYTICS?
Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Big data is a term applied to data sets whose size or type is beyond the ability of traditional rational databases to capture, manage and process the data with low latency.
Big data has one or more of the following characteristics: high volume, high velocity or high variety. Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data complexity through new forms and sources of data. For example, big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media — much of it generated in real time and at a very large scale.
Analysis of big data allows analysts, researchers and business users to make better and faster decisions using data that was previously inaccessible or unusable. Businesses can use advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics and natural language processing to gain new insights from previously untapped data sources independently or together with existing enterprise data.
WHAT IS BIG DATA ANALYTICS?
Improve customer integrations
Aggregate structured, semi- and unstructured data from touch points your customer has with the company to gain a 360-degree view of your customer’s behavior and motivations for improved tailored marketing. Data sources can include social media, sensors, mobile devices, sentiment and call log data.
Detect and mitigate fraud
Monitor transactions in real time, proactively recognizing those abnormal patterns and behaviors indicating fraudulent activity. Using the power of big data along with predictive/prescriptive analytics and comparison of historical and transactional data helps companies predict and mitigate fraud.
Drive supply chain efficiencies
Gather and analyze big data to determine how products are reaching their destination, identifying inefficiencies and where costs and time can be saved. Sensors, logs and transactional data can help track critical information from the warehouse to the destination.
Build A Data Culture
What is Data Culture?
Data Culture is a hot topic. You may have heard the term associated with conversations around digital transformation and data literacy. But what is Data Culture really—and why does it matter? A Data Culture is a shared mission to enable your entire workforce with data. Backed by leadership and a supportive internal community, a Data Culture is made up of critical thinkers who promote data-driven decision making at every level of the organization. This culture is supported by flexible technology with a governance model that supports self-service analytics at scale.
Why is Data Culture important?
Suddenly every company is a data company and most organizations are investing significant resources to collect, store, and protect their data. But Data and technology on their own won’t help you succeed. Success with data comes down to culture—how people actually use data and make decisions on a daily basis.
Only 8% of companies achieve analytics at scale.
To understand what separates successful Data Cultures (“data-leading organizations”) from the rest, Tableau conducted a global study with market intelligence firm IDC, composed of 1,100 responses across seven countries. Research showed:
3X
Data-leading organizations are 3x better than their peers at finding and connecting with data.
%
89% of respondents from data-leading organizations were very/extremely satisfied with investments in data capabilities compared to the data-aware group.
%
81% of respondents from data-leading organizations feel confident about getting data and analytics help when they need it.
What does a successful Data Culture look like?
The promise of analytics is that analysts will find business-altering insights in their data—discrepancies or opportunities for optimization, or time-savings. But imagine if these moments weren’t stand-out occurrences, but the norm for every employee? When every employee has the data they need to do their job better, the entire organization reaps the rewards—agility, customer satisfaction, and innovation.
Organizations With Successful Data Cultures Share Five Common Elements
Trust
Commitment
Talent
Sharing
Mindset
Build a Data Culture with Tableau
As a trusted advisor, Tableau helps the world’s largest enterprise customers successfully establish a Data Culture by enabling leaders to build trust, cultivate talent, and drive commitment around their data during this unprecedented time. We even created the Blueprint for building a data-driven culture.
Build Trust
Tableau helps executives build a foundation of trust – in people and in data.
Cultivate Data Skills
Tableau empowers a culture of learning, sharing, and collaboration around data.
Drive Commitment
Tableau enables data to become a strategic asset to support data informed decisions.
Get a complete view of the data with Tableau!
Let Your Data Scale
A MODERN CLOUD DATA WAREHOUSE
Accelerate your analytics with the data platform built to enable the modern cloud data warehouse
Get fast, reliable, secure, and cost-effective access to all your data. Snowflake’s cloud data warehouse delivers what today’s organizations and their customers and business partners demand.
Single Source for All Data
Snowflake creates a single, governed, and immediately queryable source for effectively all your data, including JSON and XML, with near-unlimited and cost-effective storage.
Accelerate BI & Analytics for All Users
Support a virtually unlimited number of concurrent users and queries with near-unlimited, dedicated compute resources. Query semi-structured data directly with SQL, and with your favorite business intelligence and machine learning tools.
A Global, Near-Zero Maintenance Solution
Scale Snowflake, up and down, on the fly or automatically, with per-second pricing. Get a single experience across major public clouds with almost zero administration and maintenance.
Use All of Your Data
Make data-driven business decisions with quick and easy access to a single trusted source for all your data
- Near-unlimited, low-cost cloud storage with 2-3x compression
- A single copy of your data that’s available immediately everywhere
- Access and provide shared data to customers and partners through Snowflake Data Marketplace and via your own private data exchange
- Native support for geospatial data and analysis
Security, Governance & Privacy
Keep your data secure, while providing governed access to authorized users
- Automatic data encryption at rest and in transit
- Dynamic data masking and tokenization
- Leverage functionality to enable GDPR and CCPA compliance
- Certifications for SOC2 Type 2, ISO 27001, PCI, HIPAA, FedRAMP and more
Fast and Easy SQL Analytics
Avoid bottlenecks or service interruptions with dedicated compute resources for every user and workload
- In seconds, provision compute clusters ranging in size from extra-small to 6XL to match demand
- Choose multi-cluster computing resources for near-unlimited concurrency
- Fully ANSI SQL compatible, with native support for semi-structured data
- Optimized direct connectors for popular BI and Analytics tools
- Access charts and SQL analytics via Snowsight, the built-in visualization UI for Snowflake.
Managed Service
Architected specifically for a seamless cross-cloud experience, Snowflake automates data warehouse administration and maintenance
- Automatic query caching, planning, parsing, and optimization
- Automatic updates with no scheduled downtime
- Cross-cloud data replication for seamless, global data access
- Connect to the Data Cloud to share and acquire shared data with potentially thousands of Snowflake customers and partners
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.