data strategy

How to win the battle with data fragmentation

How can I move my data management methods into the 21st century?

Let me tell you a story which that unfolds every day in thousands of offices around the world. Imagine a guy, let’s call him Joe. Joe is sitting behind his desk, looking at the monitors he rummages through dozens of reports from the various web services that his company utilizes.

On the one hand he is using Google Analytics and Adobe Analytics to track his website, Facebook, Instagram, LinkedIn and YouTube to share content and build a community, Smartly to manage social advertising, Google Ad Manager and Google Ads to run the campaigns,  Stripe for billing and Salesforce as a cloud CRM,  Brandwatch to get insights about his brand, Social Bakers for social media management and monitoring. Some of these tools are used for internal purposes and some on behalf of his clients.

And on the other hand, Joe is using Tableau, Google Data Studio, Klipfolio, Zoho Analytics or other tools to visualize this data. Now Joe is asking a simple question. How the hell do I consolidate and make sense of all of this data? How can I handle it all without a team of developers to consolidate all my company’s data infrastructure?

Joe is stuck, he is desperate and he is out of time because he needs his consolidated reports now, he needs them quickly and he’ll need them again tomorrow and likely next week. Moreover, his needs may change in a few weeks and he’ll need to reconfigure his data infrastructure quickly.  

So what is the solution for Joe? The answer is a flexible and universal no-code data integration platform capable of connecting all of his data sources and consolidating the data, prepping it and delivering it anywhere anytime he needs. He needs to be able to connect his sources to any BI tool, data warehouse or FTP/FSTP server and it needs to be easy to execute.  Why? Because it’s 2019.  The days of manual data handling processes are over. This solution has only seven letters – Dataddo.

Does this story sound familiar to you? Give Dataddo a try and solve all of your data problems in just a few clicks. Dataddo connects all of your data sources to your BI tools, dashboarding apps and data storage solutions because sometimes being retro is cool, but not when it comes to working with your company’s data!

data strategy

Making Klipfolio a Fitting Piece of Your Existing IT Puzzle

What are the data handling limitations that come with Klipfolio?

Klipfolio is beside Tableau, Zoho Analytics and Google Data Studio as one of the most popular data visualization tools on the market today. We can say that it is in the top 10 software players in this segment in 2019.

Klipfolio’s main focus is on data visualization and they offer a powerful solution. But while visualization is great, it’s only the end result of the data puzzle. Your data has to come a long way from measuring, collecting, consolidation, preparation and then final output to your visualization tool for interpretation. In order to generate aesthetically pleasing, all-inclusive reports for your team members or clients, one must navigate each step in the data handling process which can be rather time consuming. 

So what are some of the issues you have to solve when working with a visualization tool and how should you deal with them? The answer is a no-code data integration platform capable of automating and simplifying your company data journey without the need for external developers and additional costs. Dataddo can connect all of your data with your BI tools, dashboarding apps and data storage solutions and you don’t need to write a single line of code.

Although Klipfolio provides somewhat universal connectors to CSV or JSON data, there are multiple cases when this solution cannot be used:

  • An increasing number of APIs utilize the OAuth 2.0 authorization scheme. The lack of a generic OAuth2 authorizer prohibits connection to such services.
  • Some APIs must perform multiple calls to obtain the desired result. E.g. number of results per single call is limited, so it is necessary to traverse using workarounds or to work with dynamically generated cursors.
  • Many APIs require the use of dynamic parameters produced as results of a different call, like using one call to get all Users IDS and then dynamically “emitting” a call for each User to obtain details.

With a growing number of data sources that companies need to connect to and ever- changing data handling needs, it’s important to have an infrastructure in place that is as flexible as possible. Additionally, your data management has to stand on a solid foundation, on a data pipeline that connects all of your data sources, all of your online services and all of your data destinations. The entire process should be so seamless, simple and flexible that you forget that you are even using a data handling pipeline. That’s the value that Dataddo can bring to your company’s data management infrastructure.

data strategy

Zoho Analytics + Dataddo – A Complete Data Analytics Package

Zoho Analytics is a powerful tool for reporting and analytics, however it can be difficult to aggregate data from the seemingly endless list of data sources that companies need to deal with and send it to dashboards.  

With Dataddo’s data integration platform, organizations can extract, prep and send any data to Zoho Analytics automatically at set intervals without writing a single line of code. Dataddo offers native connectors to a wide variety of popular online services and can connect to almost any service with an API using our JSON, XML, CSV or community connectors. 

Dataddo eliminates the need for extensive ETL engineering and automates data handling processes so your team can focus on drawing new insights from analytics data instead of wasting time dealing with data preparation.  

Dataddo offers a two week free trial of our platform so that you can connect your various data sources and test the output to Zoho Analytics using our native connector. If you need assistance configuring the platform, feel free to contact us and we will get you in touch with one of our data integration specialists!

data strategy

Why should a no-code data integration platform be considered a critical component for data fabric?

The advent of the internet, social networks, real-time analytics tools and artificial intelligence are profoundly changing almost every business process towards being data-driven, fostering almost ‘scientific’ approaches to business management. Indeed, this creates a considerable reliance not just on the data itself, but on the underlying data infrastructure as well. Since non-technical departments such as marketing or sales often tend to be primary drivers of this shift, the underlying infrastructure has to reflect the fact that it’s operators typically do not have a degree in computer science.

‘Shadow IT’ fostering siloed analytics within organizations

Arguably the most crucial factor of changes in the modern business environment is the availability of real-time (or near real-time) data to make qualified business decisions. 20 years ago, it was pretty common to conduct research in the form of financial analyses, focus groups, questionnaires or marketing studies prior to each critical decision. The issue with these practices is that they were often rather occasional and performed on a small scale, therefore past experiences of business leaders and their ‘gut feelings’ were essential ingredients of the decision-making process. With the advent of digital products, online customer-facing systems and digital sales channels, there is a vast surplus of various analytics tools that can provide unprecedented insights. However, the adoption of these tools and services (mostly delivered as SaaS) was usually not driven by the overall IT strategy, but rather end-users creating what some call the phenomenon of shadow IT. Since many services such as Salesforce, Zendesk or Google Analytics gradually grew into enterprise-grade softwares, organizations usually built siloed teams and capabilities on top these systems.

Data integration platform as the centerpiece of data fabric

Adoption of data analytics within organizations naturally forces the centralization of analytics capabilities since the previously mentioned siloed architecture is rather expensive and creates frictions between internal teams and departments. In support of this claim, renowned IT analytics and research firm Gartner identified data fabric as one of the critical data and analytics trends. According to Gartner, “Data fabric enables frictionless access and sharing of data in a distributed data environment. It enables a single and consistent data management framework, which allows seamless data access and processing by design across otherwise siloed storage.” Since data experts find it extremely painful to work with analytics data from multiple web, social, sales or customer platforms, we developed the Dataddo integration platform that helps our customers to centralize all their analytics data into a single point; whether it is a dashboarding app like Tableau or Google Data Studio, their data-warehouse or cloud-based big data storage.

No-code platforms as an answer to increasing demand for technical skills in non-technical departments

The trend of proliferation of data analytics in the organisations result in another outcome; increasing requirements on non-technical employees (usually in marketing, product or sales) to deal with tasks previously dominated by people with a technical skill set such as data-prep scripting, SQL or data architecture. Indeed, it is not uncommon that basic knowledge of coding and working knowledge of technology is often considered as one of must-have skills for marketers. However, marketers are not coders and vice versa, therefore it is important to provide the non-technical staff with tools and platform, allowing them to perform complex operations, but still having ‘human’ interface. Therefore the no-code / low-code platform is the answer for solving this issue.

data strategy

Data fabric identified by Gartner as one of the key data and analytics trends

Artistic visual of data fabric

The idea for building the Dataddo platform came from the knowledge that many data experts find it extremely painful to work with analytics data from multiple web, social, sales and customer platforms. Having this insight, we identified a need for a no-code data integration platform that helps businesses centralize all of their analytics data into a single place whether that’s a dashboarding app like Tableau or Google Data Studio, their data-warehouse or a cloud-based big data storage. We are excited to see that our initial vision for building Dataddo has been validated by the world’s most respected IT research and analytics firm, Gartner.

Gartner listed data fabric as a key data and analytics technology trend. Data fabric “enables frictionless access and sharing of data in a distributed data environment. It enables a single and consistent data management framework, which allows seamless data access and processing by design across otherwise siloed storage.”

data strategy

Data dispersity, the next big challenge for data-driven organizations

A clear trend in today’s business IT is the proliferation of various cloud-based services that seek to lower operational costs, facilitate the adoption of new technologies and improve overall business performance. It has become common practice for businesses to use CRM for clients and lead management, business intelligence tools for financial analysis, Google Analytics to track online channel performance, Google AdWords for online campaign management and the list goes on. Having immediate access to performance information regarding various aspects of your business is always great. However, this is easier said than done. With and abundance of data coming from these services and with new tools and services appearing all the time, orchestrating the entire infrastructure for your organization’s data ecosystem can be a daunting task. To make things worse, many of these services don’t integrate with each other out of the box, creating major headaches for data analysts who want to look at the bigger picture regarding their company’s data. Businesses generally address this issue either by hiring staff to operate the various platforms independently, (The Login>Select>Filter>Download>Process-in-spreadsheet routine) or by paying for the costly custom development of various data bridges which can be chaotic and expensive as data sources from new services are continuously added to the ecosystem.

Businesses Crave Automation and Truly Seamless Data Integration

Dataddo is a universal analytics, advertising and customer data pipeline allowing data integration, automation and transformation. Our platform is designed to work with almost any online data service and already covers existing popular analytics platforms, CRMs, adtech solutions and social networks. Dataddo transforms and wires data to a wide range of databases, DWHs, cloud storages and dashboarding/BI applications allowing for smooth and simple integration with your existing IT and BI stacks. Dataddo creates simplicity for organizations in the expanding and increasingly chaotic data analytics ecosystem.

Openness and Flexibility are Crucial

We believe that the ever-growing dispersity of online data sources will eventually force most companies with considerable internet activities to deploy a data integration solution. We built Dataddo with openness and flexibility as our core driving concepts, leading to a solution that works even for organizations with legacy systems or proprietary solutions.

It is Not Just About Software

At Dataddo, we are all data-crazy. This mentality helps us understand the importance of being effective and efficient when it comes to working with data. Our mission is to help our clients use the ever-growing amount of data to their advantage rather than having it complicate things. For example, one of our clients is of the largest marketing agencies in the EU and they manage hundreds of Facebook, Instagram and Google campaigns on behalf of their clients. In the past, it would take two analysts and 4 full days of work at the beginning of each month to create performance reports for their various campaigns. The chain of tasks ranging from obtaining the data itself, through data transformation, to delivery to the client’s endpoints was automated by Dataddo saving them dozens of hours each month and obviously quite a bit of money. After deploying our software, the client can now dedicate those 8 saved man-days to more important tasks that will drive the development of its business.

data strategy

Challenges for digital media in the era of data-driven businesses

The rapid development of the technology is profoundly changing our society, businesses and even ourselves. Media is, without doubts, the sector that has been dramatically affected by recent advances in the technology. In the chronological order, there was a significant emergence of online news portals at the beginning of 21st century, ruining many newspapers and magazines. Followed by YouTube and other video streaming services, whose proliferation caused major headaches to all traditional TV broadcasters, killed brick-and-mortar video renting industry and turned the video-distribution market on the head. Seeking new revenue streams, many big media houses reshaped their strategies and adopted digitalisation policies and started developing own digital divisions. However, as social media emerged in late 00’s, Facebook and Twitter, in particular, the new challenges even for newly-coming digital media keep steadily rising.

Weak brands

Successful online media portals after its emergence gradually built strong brands and were enjoying a surplus of somewhat cheap direct traffic, as users usually had a couple of top-of-mind online portals they were regularly surfing at. Given the fact, that such traffic could be easily monetised via display advertising or paid press releases, investments into digital media promised substantial long-term profits. However, in the last couple of years, the trend somewhat turned around as online media brands are being weakened by an increasing number of gate-keeping services such as social media, news aggregators or recommendation engines. So, instead of accessing favourite online media brands directly, using such gate-keeping is leading to weakening the brands. Furthermore, as traffic distribution algorithms are rather obscure, digital brands are losing control on their audiences.

Loss of direct traffic audience

Weaker brand from the web analytics perspective is resulting in profound changes in traffic source distribution, shifting from direct – i.e. someone typing URL into a browser address bar – to referrals, social shares, organic searches or even paid promotions. As a result of this shift, online media are increasingly at to mercy of such gatekeeping services. Clear prove to this statement is a recent change in Facebook’s post display algorithms, causing a significant drop in audience reach for organic posts. To maintain previous reach levels, publishers had to employ paid promotion, which is indeed further jeopardising once-positive business cases.

Changes in content consumption

With more content, sources and channels available, the typical consumption behaviour is changing towards less-time-less-content pattern. Social media, in particular, get along with this trend as more news are consumed in the form Facebook posts, Tweets or even Instagram photos. For the media on the other hand, as more content is being consumed outside owned channels, it is increasingly difficult to reconcile even the basic performance metrics.

Proliferation and demand for data analytics

Expanding and increasingly diverse nature of data sources operated by digital media drives the demand for data platforms as well as the proliferation and demand for data analytics in the media business. Given the fact, that it is difficult to reconcile even the basic media performance metrics and the fact that digital media must quickly adopt data-driven business processes, the key component of such data platforms is flexibility, i.e. ability to accommodate all those diverse data sources. Moreover, with lagging revenues from online advertising and fierce competition, cost-effectiveness in another important factor.

Dataddo is helping on-line media with pursuing their data-driven decisions

In Dataddo, we built our data platform with a simple objective – being able to work with any online data source providing it has an API – regardless the shape or form on the one hand, and on the other hand is easily interoperable with any existing IT infrastructure businesses might have. This makes Dataddo platform suitable for digital media in particular, as we are able to accommodate the great diversity data sources, that digital media are usually working with and indeed have the flexibility to swiftly implement any newly emerging. Dataddo platform is operated in cloud ensuring cost-effectiveness and thanks to the well-thought user interface can be operated even by non-tech users.