How Salesforce Makes Big Data Easy for Businesses and Developers
Big Data with volume, velocity, and variety is becoming a reality for both big and small businesses who had all along thought volume is the only factor in Big Data.
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Big Data is no longer a mystery that every other IT guru is using in a geeks’ conference. It's a common tool being deployed by businesses with great success. While the term is now common in IT circles, most businesses have yet to reap from the concept, even as more advances are being made on how to leverage it. While the amount of data both structured and unstructured has been the focus for the last few years, the shift is now towards what these data lakes can actually do for your business.
Short Background on Big Data
In contemporary society, large volumes are being generated in all sectors. The term came to the limelight when Doug Laney, an IT specialist, observed that for any information to qualify as Big Data, it has to conform to the three Vs.
Organizations are now inundated with data from all sources including transactions, survey, social media, and machine-to-machine data. With new technologies emerging, it is now easier to handle these large volumes of data.
Real-time handling of data is now more urgent than ever. Businesses are looking for instant insight on their customers in order to improve their interactions. RFID tags and smart metering are some of the technologies necessitating fast processing of data.
Your business must be ready to handle data from all sources and in all formats. From traditional databases, structured and unstructured, your company’s data management system must be optimized to handle a variety of data.
Salesforce Doubles Down on Big Data
That most businesses are still not benefiting from Big Data is no secret. The use of unscalable and outdated traditional databases is one reason for this. To mitigate this, Salesforce — which is most notable for its CRM and SaaS — launched the highly acclaimed Wave Analytics Platform in 2014. However, this was still not enough, as it launched the much-awaited Salesforce Wave for Big Data in 2015. This has been one of the most anticipated tools in the industry, as it is a partnership with some of the biggest data companies in the world, including Google, Hortonworks, New Relic, Informatica, Trifacta, and Cloudera.
By joining forces with these data lake enablers, Salesforce says that it is completing the last mile that has eluded most businesses. The idea is to help businesses unlock value from Big Data and in the process gain new insights on their customers.
Riding the Big Data Wave
During the launch of the partnership, Salesforce executive Keith Bigelow noted that at the rate of today’s doubling modern data, there will be 44 trillion gigabytes of data available to businesses by 2020. Unfortunately, without advanced partnerships and leveraging Big Data analytics, these companies will only analyze 1% of this available data.
The partnership between the biggest CRM company in the world with the top Big Data companies will make utilization of more Big Data a reality. Indeed, Cloudera’s Clarke Patterson was enthusiastic about this partnership as to label it a match made in heaven. The Salesforce Wave for Big Data provides a smarter way to get better insight faster. With Salesforce GitHub, developers enjoy more social coding capabilities.
What the Partners Bring on Board
The partnership between the six IT companies is intended to empower all types of data users to explore any variety of data and take action faster for better outcomes in their businesses. The Salesforce Wave for Big Data has the potential to extend the volume and variety of data accessed by a business owner at a faster rate.
Business managers now have a tool that enables them to discover patterns across a wider variety of data — ERP, CRM, HR systems, etc. Each of these Big Data companies has joined the analytics cloud partner ecosystem to bring in more benefits to users while also gaining more exposure. Here’s how these companies will correlate on the partner ecosystem.
Marketing executives can now use services already available on Google cloud with Salesforce customer profiles. It is now possible to discover the correlation between a customer profile and actual engagement information, such as purchases from Google cloud.
This enterprise-grade data management platform enables businesses to optimize the power of their Hadoop clusters. Businesses can now use such optimized data to learn about economic trends and other issues that can be used to improve services offered.
This is an important platform used together with Salesforce CRM demographics to target the right audience during a loyalty program. Marketers can now identify a correlation between products usage on Cloudera alongside Salesforce data.
This is important for companies looking for real-time analysis of interactions with target customers. Marketers can now look at both the current behavior on a retail page and their history of purchases to enhance cross-selling strategies.
This a crucial tool in reducing the huge task involved in dealing with big data. The platform allows data specialists to clean up and enrich data available on the analytical cloud.
Informatica brings together business analysts, citizen integrators, and IT specialists to integrate all types of data for the analytic cloud.
With this partnership, every business can now transform its users’ experience. Business can now leverage common tools such as Google’s BigQuery to get a better view of their businesses. With such a view, a company can improve its service delivery by leveraging Big Data. By leveraging on the vast amounts of data available on Hortonworks, businesses can today enjoy better ROI.
The Salesforce Analytics Cloud app is available on iOS, though more support is on the way. The revolutionary product is going to make Big Data a reality for both big and small businesses who had all along thought volume is the only factor in Big Data. It is now possible to search any data source and enjoy a more dynamic experience. Better still, with so much data coming from multiple areas (including social media and mobile channels), companies now have a better understanding of the implications of these growing interactions.
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