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Connect directly to the Snowflake data warehouse. Flexibly prepare, query and manage structured and semi-structured data using both code and a web-based, visual data modeling experience.

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Gain access to many of Google’s offerings, including among others Google Ads, Google Analytics, Google Sheets, and Google BigQuery, plus the ability to host Sisense on Google Cloud.

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In Q1 2021, we’ve added another dimension to our strong relationship with AWS via new and innovative ways to leverage powerful machine learning and AI made for any advanced analyst or data scientist familiar with Python. Sisense and the AWS environment empowers you to unleash your inner analytics wiz to enrich your data and uncover new intelligence that will help you evolve your business.



<h2>Sisense Custom Code: Accelerating your advanced analytics</h2>



Sisense and AWS are better together and now there’s a brand new way to use Python from Jupyter Notebooks in Sisense to accelerate your advanced analytics or perform simple data prep and cleansing with ease.



The new <a href="https://www.youtube.com/watch?v=DkOejFHkqW4" target="_blank" rel="noreferrer noopener">Custom Code feature in Sisense</a> enables you to run Python from within your Jupyter notebooks to transform, prepare, and cleanse data inside your ElastiCube models as part of the build process. Now, there are infinite ways that you can take robust and efficient Python code vs. long, messy SQL queries to augment your existing analysis and extract buried intelligence within hundreds of millions of bytes of data.&nbsp;



Using Amazon Comprehend, you can perform sentiment analysis to understand whether a customer review is positive, negative, or neutral, or apply named entity recognition to identify your data types as names, organizations, locations, and more. You can also translate text data into over 50 different languages to unite all your text data in a common language using both Sisense and AWS through a seamless experience — and that’s just the start.



Being able to draw out those key insights brings a deeper level of understanding to what you already know, and allows you to act upon your results faster to evolve your organization in ways you didn’t know were possible.



<h2>Start augmenting your data</h2>



To begin your data’s transformation, select “Add Custom Code” at the column, table, or data model level of your ElastiCube and then choose the notebook you’d like to layer additional analysis onto (we even have sample Jupyter notebooks for you to kickstart your efforts). Then comes the fun part:



The sky’s the limit when it comes to transforming your data using Python. Run your data through your custom Python code and even AWS Services like Amazon Comprehend, Amazon Translate or Amazon SageMaker to produce a new column of results in a new table. Say you have text data that includes your Amazon customer reviews. Run this data through sentiment analysis to add a column that specifies how customers feel about your products or company.&nbsp;



<h2>Take your analytics to new heights</h2>



We’re beyond excited to see what new questions you’ll answer using the new Custom Code capability in Sisense. It’s game changing in many ways, and helps to provide the flexible, integrated experience you need to get more out of your data stores.



To start leveraging this new feature in your workflows, download our latest release today! Delve into the technical details, including how to get set up, <a href="https://documentation.sisense.com/latest/managing-data/working-with-data/custom_code.htm#gsc.tab=0" target="_blank" rel="noreferrer noopener">here</a>.



<a href="https://www.sisense.com/u/login/?return_to=https%3A%2F%2Fsupport.sisense.com%2Fhc%2Fen-us%2Farticles%2F360001911394" target="_blank" rel="noreferrer noopener">Upgrade your analytics to use to Custom Code</a>



Parke Hunter is a Product Marketing Manager at Sisense. She has over five years of experience in the software industry, including in customer success and product marketing. She is dedicated to empowering all Sisense customers to leverage analytics innovations to evolve their companies and disrupt their markets.

Custom Code with Sisense and AWS — Beyond re:Invent

Every company is becoming a data company. In Data-Powered Businesses, we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.



The way businesses operate is constantly evolving. The pressure is on for organizations of all shapes, sizes, and missions to <a href="https://www.sisense.com/blog/the-need-for-speed-faster-data-access-as-competitive-edge/" target="_blank" rel="noreferrer noopener" aria-label=" (opens in a new tab)">make decisions at speed</a> and scale — and collaborate in real-time. But many are still struggling to leverage their data and aren’t reaching their full potential. Realizing the impact this can make to the bottom line, the question for these companies becomes: “What next?”



<figure class="wp-block-image size-large"><img src="https://cdn.sisense.com/wp-content/uploads/data-scale-770x351.png" alt="" class="wp-image-98677"/><figcaption>Datasets are on the rise and most of that data is on the cloud.</figcaption></figure>



The answer is “cloud-first analytics.” The recent rise of <a aria-label=" (opens in a new tab)" href="https://www.sisense.com/webinars/leveraging-data-analytics-to-support-and-strengthen-your-business/?v=thank-you-webinar" target="_blank" rel="noreferrer noopener">cloud data warehouses like Snowflake</a> means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses. In this article, we’ll dig into the ways modern cloud analytics are changing the way businesses accomplish their missions and even save lives.<a href="https://www.sisense.com/webinars/leveraging-data-analytics-to-support-and-strengthen-your-business/?v=thank-you-webinar"></a>



<figure class="wp-block-image size-large"><a href="https://www.sisense.com/webinars/leveraging-data-analytics-to-support-and-strengthen-your-business/?v=thank-you-webinar" target="_blank" rel="noopener noreferrer"><img src="https://cdn.sisense.com/wp-content/uploads/snowflake-image-cta.png" alt="" class="wp-image-110896"/></a></figure>



<h2>Scalable cloud solutions: The future of data and analytics</h2>



Current, on-premises data platforms are not yielding optimal results for businesses. Their limitations include complexity, lack of scalability/inadequate elasticity, rigid monthly costs regardless of use, inability to consolidate siloed data, and an inability to share of data inside and outside a business.&nbsp;



“Cloud data platform solutions and their applicability across use cases and locations have grown as an alternative to costly on-premises solutions,” said Louis Lee, sales engineer at <a href="https://www.snowflake.com/try-the-cloud-data-platform/?_bt=395066413872&amp;_bk=snowflake&amp;_bm=e&amp;_bn=g&amp;_bg=82133793293&amp;utm_medium=search&amp;utm_source=adwords&amp;utm_campaign=APAC%20-%20Branded&amp;utm_adgroup=APAC%20-%20Branded%20Snowflake%20-%20Computing%20-%20Exact%20RSA&amp;utm_term=snowflake&amp;utm_region=APAC&amp;gclid=CjwKCAjwte71BRBCEiwAU_V9h5yeNdOifYAD5hA2MjF52uzM-s3h_XMHR51JvmbszPvwznYMuJOJ5hoCl2cQAvD_BwE">Snowflake</a>.



Free, <a href="https://www.sisense.com/blog/the-need-for-speed-faster-data-access-as-competitive-edge/" target="_blank" rel="noreferrer noopener" aria-label=" (opens in a new tab)">fast movement of data</a> between organizations, locations, and applications is key to enabling fast decision making. Previously, this would be done via high-latency file transfers, which constrained options for builders and reduced efficiency.



“A cloud data platform means data can be shared, governed, and controlled to give access to any authorized parties to the data, updated in real time,” Lee explained. “The cloud data platform enables a data marketplace where organizations can obtain secure and governed consumer and government data, such as COVID-19 data, to make timely decisions in challenging times.”



As a result, many organizations are able to join external data to their own data in real time to forecast business impacts, <a href="https://www.sisense.com/blog/the-data-behind-retail-analytics-in-times-of-crisis/" target="_blank" rel="noreferrer noopener" aria-label=" (opens in a new tab)">predict supply and demand</a>, apply models, and aggregate to predict the spread of the virus. In short, cloud data warehouses and BI platforms have revolutionized the way organizations share and use data.



“This ability to pull data sets together from a cloud-native environment for better transparency and faster decision making, in turn, can give analysts the speed they need to answer questions quickly and more accurately with more data collaboration,” Lee added.



<figure class="wp-block-image size-large"><a href="https://www.sisense.com/whitepapers/going-cloud-native/" target="_blank" rel="noopener noreferrer"><img src="https://sisense.wpengine.com/wp-content/uploads/CloudNative_770x2501.jpg" alt="going cloud native cta" class="wp-image-90898"/></a></figure>



<h2>Deeper insights from bigger data sets</h2>



It used to be a challenge to order and <a href="https://www.sisense.com/blog/understanding-structured-and-unstructured-data/">structure data</a> to get a basic answer. Data volumes have grown exponentially, not just in volume but in different systems, making it difficult to visualize whole data insights.&nbsp;



“Now, we are all dealing globally with the unexpected as world economies change and shut down, and how people are behaving shifts,” he said. “Insights from other data sets, such as location data, in the past were very difficult to incorporate quickly. Now, using a cloud-native data environment, we can take business data and join it together to build a better business health score, and to see what customers might need the most outreach at this time.”



A cloud environment is designed to bring data together and serve it back through dashboarding, allowing the data to transform without moving it, join it to other data internally or externally, and compute that data and augment it, and write all of it back to <a href="https://www.sisense.com/blog/how-profectus-delivers-value-from-data/">Snowflake using Sisense</a>.&nbsp;



“This builds reusable artifacts that power ad hoc analysis, and also serves that data into reporting to send to teams and models. It doesn’t require extra resources, physical infrastructure, or teams to make it work,” he said.



<h2>Collection and use of data as a competitive advantage</h2>



Experts agreed everyone in the current climate is looking at what they can learn from their data, to see how they can best serve their customers and look at the answers to questions they haven’t even thought to ask yet. Companies that do it well are more successful in the market than those that don’t. Companies that use data effectively have 18% higher growth margins and 4% higher operating margins, according to Keystone Research. This is especially important in times like this.



For example, Sisense customer <a href="https://www.healthreveal.com/">HealthReveal</a> is leveraging data from claims and health records and feeding it through a clinical algorithm to help health care providers with personalized recommendation for patients. HealthReveal is also part of the NYC CV19 rapid response coalition, and is using clinical AI to provide risk scores for patients to prioritize outreach to the highest risk patients and to reduce burden on NYC ICU beds. Without cloud data it wouldn't be able to do this as fast as it can.



Another Sisense’s customers, a medical device lifecycle company, is also using its data to provide its community with access to doctor care, security resources, by connecting with others in the community using data.



Another Sisense customer, a personal security company, uses data to track all the medical equipment sent to VHA hospitals and understand the need per location during <a href="https://www.sisense.com/blog/predicting-covid-19-pandemic-growth-using-sql/">the COVID crisis</a>. This visibility is critical to the VHA's efforts to keep track of every piece of equipment and to dashboard all its equipment use to the US White House to analyze and track usage of health supplies.



<h2>Better decisions, stronger businesses</h2>



Businesses have the ability to do more with data than ever before, to make better decisions at speed and scale, and answer questions they haven’t even asked yet. In an <a href="https://www.sisense.com/blog/how-data-can-help-you-manage-extreme-change/">uncertain business environment</a>, having a flexible and fast data environment to serve up more accurate recommendations and next best actions based on unified data and efficient data sharing can make a significant difference to businesses looking to strengthen for the future.



<figure class="wp-block-image size-large"><a href="https://www.sisense.com/webinars/leveraging-data-analytics-to-support-and-strengthen-your-business/?v=thank-you-webinar" target="_blank" rel="noopener noreferrer"><img src="https://cdn.sisense.com/wp-content/uploads/snowflake-webinar-cta-1.png" alt="" class="wp-image-110909"/></a></figure>



Scott Castle is the VP of Strategy at Sisense. He brings over 25 years of experience in software development and product management at leading technology companies including Adobe, Electric Cloud, and FileNet. Scott is a prolific writer and speaker on all things data, appearing at events like the Gartner Enterprise Data Conference, Data Champions, and Strata Data NYC.

Delivering More Impactful Insights From Your Cloud Data

Product, technology, and R&amp;D professionals are always keen to discuss how software companies are driving product innovation and new revenue streams through embedded analytics. At a special in-person event at the Sisense offices in Tel Aviv, a select group of product, technology and R&amp;D professionals gathered to talk about how data has become a key point of differentiation for product offerings, how software companies that deliver analytics and insights to customers see better customer engagement and satisfaction, and how&nbsp; they enjoy increased revenues.



Topics covered included the opportunities presented by AWS’ new “Lake House” architecture, the benefits of pairing the right cloud solution with the right custom analytics platform, and how actionable intelligence from cloud sources can take a company’s embedded analytics to exciting new places.&nbsp;



Get the full value of embedded analytics for customers and for the business: >> Find out where and how embedded analytics can create value in this free guide



<a class="action-btn " href="https://www.sisense.com/whitepapers/the-foolproof-case-for-embedded-analytics/" target="_blank" rel="noopener noreferrer">Download Now</a>



<h2>AWS Lake House architecture: Simpler storage, faster insights</h2>



Insights embedded into applications have to come from somewhere, and cloud services (especially those at AWS) are always changing. To drive this point home, Yonatan Dolan, an Analytics Specialist from AWS, introduced AWS’ new Lake House architecture. This cutting-edge service integrates the abilities of a data lake, a data warehouse, and purpose-built stores, to enable unified governance and easy data movement. Lake House’s unique architecture on AWS stores data in a data lake and gives users access to a ring of purpose-built services around the lake that empower them to make decisions faster, at scale, and with high performance.



Yonatan demonstrated that as data volumes increase (at an unprecedented rate), this approach is gaining traction in order to handle vast amounts of data, aggregate it all into a single location, and apply analytics (including machine learning) to it to derive actionable intelligence from both structured and unstructured data more effectively.



<figure class="wp-block-image size-full fancybox"><img src="https://sisense.wpengine.com/wp-content/uploads/Pic-7-Yonatan.jpg" alt="Yonatan Dolan" class="wp-image-126855"/><figcaption>Yonatan Dolan, AWS Analytics Specialist, introduces Lake House architecture on AWS.</figcaption></figure>



Infusing embedded analytics into customer-facing apps, products, and experiences is a key way for companies to skyrocket their businesses to the next level.



"This is a really exciting time for Sisense, AWS, and the analytics world as a whole," said Aviad Harell, Sisense co-founder, COO, and GM Israel. "The potential for apps that embed analytics is limitless. Customers are demanding analytics, and companies are realizing the value of their data. Evolution in every industry will be driven by this trend. It's awesome to see so many are so eager to learn about the potential that analytics powered by data from their AWS cloud solutions can provide."



<h2>A winning team: AWS cloud and Sisense</h2>



Lake House is just the latest in a long line of AWS cloud products that companies can use to derive insights that will power their in-app analytics. We follow new AWS products very closely here at Sisense.&nbsp;



As a certified AWS Data and Analytics Competency partner as well as an AWS Independent Software Vendor Accelerate and Marketplace partner, Sisense is the custom analytics platform for connecting to AWS cloud products. Our cloud-native platform is uniquely well suited for a comprehensive list of Amazon databases, platforms, and cloud storage services, such as Amazon DocumentDB, Amazon Aurora, Amazon DynamoDB, Amazon S3, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon SageMaker, Amazon Comprehend, and <a href="https://www.sisense.com/blog/the-cloud-goes-on-premises-aws-outposts/" target="_blank" rel="noreferrer noopener">AWS Outposts</a>.



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<figure class="wp-block-image size-full fancybox"><img src="https://sisense.wpengine.com/wp-content/uploads/Pic-1-Aviad.jpg" alt="" class="wp-image-126861"/><figcaption>Aviad Harell, Sisense co-founder, COO, and GM Israel, shares examples of the Sisense-AWS partnership in action.</figcaption></figure>
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Pairing the right analytics platform with the right AWS cloud product is one way organizations of all kinds can accelerate and future-proof their data strategy, infusing advanced real-time intelligence into customer-facing apps.
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“The full range of Sisense features allows businesses to analyze all their data,” said Assaf Jacoby, Sisense AVP of Cloud Alliances. “It also empowers them to increase analytics adoption internally, create new business value and revenue streams, and adapt to changing business requirements.”&nbsp;



<h2>Derive actionable intelligence from AWS cloud sources, evolve your business</h2>



If your company uses an AWS cloud solution, the logical next step for product teams trying to embed analytics is to pick a platform that will get actionable intelligence from that cloud data storage location into the core product. Understanding embedded analytics best practices will make this process much smoother.&nbsp;



Eitan Sofer, Sisense Director of Developer Experience in the product division, explained that these teams need to grapple with a slew of questions, including:



<ul><li>How well can embedded analytics from a third-party provider be integrated into an existing product?</li><li>Can you customize the look, feel, and performance of your embedded analytics?</li><li>Will the solution scale to any number of users with high performance?</li><li>Does the solution offer high security and easy governance?</li><li>What kind of support will you have during the go-to-market phase?</li></ul>



These same teams also need to consider how exactly they’ll embed their analytics. Tech-savvy teams will want to dig into the pros and cons of embedding analytics via iframe, JavaScript, and REST APIs. Investigating real-world examples of the Sisense-AWS partnership in action and exploring how companies are embedding analytics to drive product differentiation are also necessary for companies looking to surface actionable intelligence from their AWS data in their product via Sisense.



"Data and analytics make everyone perform better. Infusing analytics into customer-facing products or internal systems and processes helps users of all kinds make smarter, data-driven decisions," said Eitan. "And platforms like Sisense that empower companies to perfectly match their app's look and feel while delivering custom analytics and visualizations truly help evolve products and companies, especially with intelligence drawn from cutting-edge cloud solutions like the ones AWS provides."



Excited to transform your business with embedded analytics? Check out this special report from Constellation about the next generation of embedded analytics.&nbsp;



<figure class="wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo"><div class="wp-block-embed__wrapper">
https://player.vimeo.com/video/561311964
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Get the full value of embedded analytics for customers and for the business: &gt;&gt; Find out where and how embedded analytics can create value in this free guide



<a class="action-btn " href="https://www.sisense.com/whitepapers/the-foolproof-case-for-embedded-analytics/" target="_blank" rel="noopener noreferrer">Download Now</a>



Adam Murray is a marketing content writer and manager at Sisense, focusing on technology, CRM, satellite communications, and much more. He’s previously worked for Amdocs, Gilat Satellite Systems, and Allot Communications. When not spending time with his wife and son, Adam can be found cheering on the Tottenham Hotspur.

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