Solving the Top Data Warehousing Challenges
Marc Andreesen famously said, “software is eating the world.” It was true then, and even more so today. The same could be said about data.
In our new research report published this week – The State of Data Management: Why Data Warehouse Projects Fail – Vanson Bourne took a pulse check of data management in today’s enterprises. Nine years after Andreesen’s famous quote, our survey of 500 organizations in the US and UK underscores that organizations are still trying to get a handle on the best way to manage their evolving data challenges.
Challenges loading the data warehouse
Data is being collected, reviewed, and analyzed across all departments. According to our research, this data is driving nearly two-thirds (62%) of all strategic decisions today, and that number is only going to increase in the future. Even with data being used to inform the strategic direction of a company, 83% of IT Decision Makers (ITDMs) are not completely satisfied with the performance and output of their data management and data warehouse solutions. What’s more, 88% struggle with effectively loading data in their data warehouses, the key backbone of data-driven insights.
SnapLogic provides a single platform for your IT and business teams to manage all your applications and data sources so that you can move any data (batch, event-based, real-time, or streaming) from any source to any destination at a scale your organization requires. Case in point: SnapLogic has been adopted and proven at healthcare and pharmaceutical companies such as AstraZeneca, Bristol-Myers Squibb, and Magellan Health, some of the most data-forward organizations on the planet, to move billions of rows/documents on a daily basis. Additionally, when it comes to data warehouses, SnapLogic provides highly sophisticated bulk load, execute, multi-execute, and SCD-2 (Slowly Changing Dimensions – Type 2) functionality for AWS Redshift, Snowflake, Google Big Query, SAP Data Warehouse Cloud, and other modern cloud data warehouses.
Connecting data silos
As organizations are looking to accelerate their digital transformation, the cloud offers the path of least resistance. But the adoption of applications and data stores in the cloud leads to a proliferation of data silos. Our research found that the average enterprise has 115 distinct applications and data sources with almost half of them (49%) disconnected from one another. This is causing great concern, with 89% of ITDMs worried that these silos are holding them back.
SnapLogic provides over 500 prebuilt connectors, called Snaps, to bring together applications and data sources both in the cloud and on-premises so that no application remains an island. With SnapLogic, your IT team does not need to pour over pages of API documentation but instead can simply select among a list of connector options. Not just that, but our Snaps provide a layer of abstraction on top of application and data endpoint APIs so that your team can move data in minutes rather than hours, and do so reliably and at scale. The ease with which you can build integrations on SnapLogic’s low-code, self-service platform is also crucial because that enables less-technical business users in your organization to build effective automations across these data silos as well.
Investing in data automation
Our research report also sheds light on how ITDMs are solving their data management challenges. 93% of ITDMs believe that improvements are needed in how they collect, manage, store, and analyze data. They also report that 42% of data management processes that could be automated are currently being done manually, wasting valuable time, resources, and money.
With our Snaps, SnapLogic provides you with a code-free way to not just source data but also transform data, something that most of our competitors can’t do. Integrators can manage their data and integrations with features such as data lineage, task-level view, API-endpoint creation and management, and data visualization in preview. Integrators can also leverage any data store in the cloud or on-premises that helps them meet their data residency, performance, and gravity needs and finally put it in an analytics endpoint of their choice for more holistic analysis and insights.
Automations that we enable in our customers’ environments allow them to accelerate business processes such as employee onboarding, employee offboarding, quote-to-cash, procure-to-pay, and more, all of which reduces errors, improves confidence in data, and empowers decision-makers with the right data at the right time.
If you identify with any of the challenges mentioned in this post, contact us for a demo. Make your data management challenges a thing of the past.