Innovative Technology at 1010data

Delivering Analytics and Visualizations at the Speed of Lightning by Terri Sage, Chief Technology Officer

Blazing-fast performance for analytics and interactive visualizations is the most

important technology goal for 1010data. Powered by in-memory technology and a scale-

out architecture for big data, this new class of progressive analytics platform is designed

to support both analytics and visualization. Progressive analytics has a hyper-

transformative effect on a business’ ability to deliver actionable insights at lightning

speed and deliver better business outcomes.

SOURCE DATA TO UNDERSTAND

CUSTOMERS

Companies store customer data in

silos with limited availability. But

increasing volumes of consumer-

generated content on social media

such as Facebook, Instagram, and

Twitter and global measurement

companies like Nielsen make rich

information about customers

available. Mobile connectivity via

smartphones and tablets collects even

more data, such as geolocation, and

information about how customers

behave throughout their days. An

integrated view of these sources

can give a company unprecedented

levels of retail and brand intelligence,

consumer behavior and loyalty,

merchandising effectiveness, sales, and

promotions efficiencies, supply chain

optimizations, store-level operations,

and retail pharmacy. Data can be

enriched with high value syndicated

data. Better data also leads to making

smarter investments for fixed income

and equity intelligence.

INTEGRATED DATA

Companies have a constellation of

data systems that generate critical

business and customer data. These

data systems are siloed, opaque, and

difficult to integrate. It is important

to integrate and unify data that is

relevant to the business.

DATA VISUALIZATIONS

Companies are good at producing

spreadsheets and tons of reports.

However, companies are unable to

quickly take data and place into a

visual context for detecting trends

and patterns in seconds. Good

data visualizations are essential for

analyzing data and making decisions

on data — spreadsheets and reports

aren’t easily consumable.

PROVIDE NEAR REAL-TIME

ACTIONABLE INSIGHTS NEEDED

TO RUN THE BUSINESS

Data is a key asset to any company,

but this asset needs to be readily

available in near real time and to

indicate the action to be taken. In

many companies, data and analytics

are not available for actionable

insights. Actionable insights are

direct, meaningful actions that can

be taken now or in the future based

on information that gives enough

intelligence to make the decision.

PROGRESSIVE ANALYTICS

Progressive analytics is used to

answer the “why” questions by

capture of large amounts of data and

running thru analytics software and

data visualization tools, then focusing

on smaller, reselected pools of data to

identify patterns. Progressive analytics

provides insights into the patterns or

anti-patterns inherent to an industry.

Data is a key asset to any organization, and this asset needs to be readily available to empower

companies across industries and the globe. The onset of COVID-19 has impacted historical and

seasonal trends and hence fast actionable insights is an imperative. We find that companies

have built separate technology stacks for data and analytical workloads, making it extremely

challenging to access the right information and visualizations at the right time to support near

real-time business decisions.

Data has to move from system to system, causing delays in delivering timely analytics and

insights — stale reports, missing data, the lack of advanced analytics, and absence of actionable

insights is an unbearable state for any company that needs fresh insights to remain competitive

in the age of the customer. Business users don’t want yesterday’s data tomorrow, they want

tomorrow’s data today. Companies are limited by trying to:

The Speed of Business Demands Actionable Insights

IN-MEMORY PROCESSING

Data stored using 1010data’s on-

demand in-memory model can be

accessed in orders of magnitude

faster than data stored only on-disk.

By using distributed in-memory

technology, hundreds of terabytes

are processed in memory. In-memory

processing powers fast analysis and

visualization rendering.

DATA COMPRESSION

1010data’s compression allows more

storing on disk and in memory by

reducing data size by as much as 75%.

SCALE-OUT ARCHITECTURE

1010data’s distributed progressive

analytic systems provide a scale-

out (horizontal) architecture and

support advanced features such as

processing across tens and hundreds

of computing nodes. With elastic scale

across computing nodes, 1010data

delivers high performance.

ADVANCED ANALYTICS

1010data systems offers the ability

to solve many analytical use cases,

including real-time insights, predictive

analytics, streaming analytics, real-time

data access, and extreme actionable

processing. For example, storing and

processing customer data in a 1010data

systems enables businesses to upsell

and cross-sell new products based

on customer likes, dislikes, buying

patterns, category management, friend

circles, and past orders.

REAL-TIME VISUALIZATIONS

AND ACTIONABLE INSIGHTS

1010data systems deliver near real-

time visualizations and actionable

insights to power applications, such

as COVID-19 consumer trends, market

analysis, fixed-income analytics, supply

chain dashboards, planograms, stock

trading, fraud detection, learning

analytics, counter-terrorism, patient

health monitoring, robotic integration,

and automated weather reporting.

CONNECTED DATA APPS

Traditional extract, transform, and

load (ETL) processes fail to deliver

real-time changes. 1010data delivers

a real-time, trusted view of critical

business data, ensuring that the

source of information is accurate to

guarantee consistency.

MANY PROGRAMMING

LANGUAGES AND BUSINESS

ANALYTICS PLATFORMS

1010data includes many open-source

programming languages including

Python, Java, C, VBA and R as

extensions to the progressive analytics

platform. Traditional business analytic

and visualizations including PowerBI

and Tableau have been integrated.

Traditional database solutions can’t scale with big data volumes in an optimized manner to

support new business demands. 1010data’s progressive analytic systems, are built on evolving

technology innovations that make understanding multiple large structured and non-structured

datasets feasible. Exploring data requires fast feedback loops and low latency. The key

technologies of 1010data’s platform for progressive analytics include:

1010data’s Progressive Analytics Offers Innovative Technology

In Conclusion

1010data offers a distributed, scalable platform built for the performance and availability

requirements needed for today’s large data volumes, actionable insights, and rich visualizations.

We expect progressive analytics platforms will see significant momentum for years to come

as a business’s ability to win, serve, and retain customers hinges on near real-time analytic

capabilities. 1010data enables companies to focus on their core business functions and

innovations rather than deal with challenges associated with architecting and designing a

progressive analytics platform.

For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the world’s foremost companies partner with 1010data to power smarter decisions. To learn more, visit 1010data.com.

Business users don’t want yesterday’s data tomorrow, they want tomorrow’s data today

About the Author

Terri Sage is Chief Technology Officer at 1010data. Follow Terri on LinkedIn or Twitter.